19.3.4.1 Video Object Segmentation

Tuncel, E., Onural, L.,
Utilization of the Recursive Shortest Spanning Tree Algorithm for Video Object Segmentation by 2-D Affine Motion Modeling,
CirSysVideo(10), No. 5, August 2000, pp. 776-781.
IEEE Top Reference. 0008
BibRef

Qi, B.[Bin], Ghazal, M.[Mohammed], Amer, A.[Aishy],
Robust Global Motion Estimation Oriented to Video Object Segmentation,
IP(17), No. 6, June 2008, pp. 958-967.
IEEE DOI 0711
BibRef
Earlier: A1, A3, Only:
Robust and Fast Global Motion Estimation Oriented to Video Object Segmentation,
ICIP05(I: 153-156).
IEEE DOI 0512
BibRef

Yang, J., Price, B., Shen, X., Lin, Z., Yuan, J.,
Fast Appearance Modeling for Automatic Primary Video Object Segmentation,
IP(25), No. 2, February 2016, pp. 503-515.
IEEE DOI 1601
Adaptation models BibRef

Liu, Z., Wang, L., Hua, G., Zhang, Q., Niu, Z., Wu, Y., Zheng, N.,
Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks,
IP(27), No. 12, December 2018, pp. 5840-5853.
IEEE DOI 1810
Object segmentation, Noise measurement, Proposals, Markov random fields, Task analysis, Probabilistic logic, probabilistic graphical model BibRef

Bhatti, A.H.[Asma Hamza], Ur Rahman, A.[Anis], Butt, A.A.[Asad Anwar],
Unsupervised video object segmentation using conditional random fields,
SIViP(13), No. 1, February 2019, pp. 9-16.
WWW Link. 1901
BibRef
Earlier:
Video segmentation using spectral clustering on superpixels,
ICIP16(869-873)
IEEE DOI 1610
Color BibRef

Gu, S.[Song], Wang, J.[Jian], Du, Y.J.[Ying-Jie], Zhang, W.R.[Wei-Rui], Hao, W.[Wei], Zhou, D.M.[Dong-Mei],
Online video object segmentation via LRS representation,
IET-CV(13), No. 5, August 2019, pp. 469-479.
DOI Link 1908
BibRef

Chacon-Murguia, M.I.[Mario I.], Guzman-Pando, A.[Abimael], Ramirez-Alonso, G.[Graciela], Ramirez-Quintana, J.A.[Juan A.],
A novel instrument to compare dynamic object detection algorithms,
IVC(88), 2019, pp. 19-28.
Elsevier DOI 1908
Evaluation, Motion Segmentation. Analysis of Video object detection. Dynamic object detection, Algorithm methodology comparison, Video analysis BibRef

Guzman-Pando, A.[Abimael], Chacon-Murguia, M.I.[Mario I.],
DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects,
IP(30), 2021, pp. 7090-7100.
IEEE DOI 2108
Biological system modeling, Birds, Databases, Visualization, Training, Feature extraction, Brain modeling, eagle vision system BibRef

Zhuo, T., Cheng, Z., Zhang, P., Wong, Y., Kankanhalli, M.,
Unsupervised Online Video Object Segmentation With Motion Property Understanding,
IP(29), No. 1, 2020, pp. 237-249.
IEEE DOI 1910
image denoising, image fusion, image motion analysis, image segmentation, object detection, unsupervised learning, video understanding BibRef

Chen, Y.W.[Yi-Wen], Tsai, Y.H.[Yi-Hsuan], Lin, Y.Y.[Yen-Yu], Yang, M.H.[Ming-Hsuan],
VOSTR: Video Object Segmentation via Transferable Representations,
IJCV(128), No. 4, April 2020, pp. 931-949.
Springer DOI 2004
BibRef

Chen, Y.W.[Yi-Wen], Tsai, Y.H.[Yi-Hsuan], Yang, C.Y.[Chu-Ya], Lin, Y.Y.[Yen-Yu], Yang, M.H.[Ming-Hsuan],
Unseen Object Segmentation in Videos via Transferable Representations,
ACCV18(IV:615-631).
Springer DOI 1906
BibRef

Ammar, S.[Sirine], Bouwmans, T.[Thierry], Zaghden, N.[Nizar], Neji, M.[Mahmoud],
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance,
IET-IPR(14), No. 8, 19 June 2020, pp. 1490-1501.
DOI Link 2005
BibRef

Tian, Y.[Yan], Cheng, G.H.[Guo-Hua], Gelernter, J.[Judith], Yu, S.H.[Shi-Hao], Song, C.[Chao], Yang, B.L.[Bai-Lin],
Joint temporal context exploitation and active learning for video segmentation,
PR(100), 2020, pp. 107158.
Elsevier DOI 2005
Video segmentation, Deep learning BibRef

Sun, M.J.[Ming-Jie], Xiao, J.M.[Ji-Min], Lim, E.G.[Eng Gee], Xie, Y.C.[Yan-Chun], Feng, J.S.[Jia-Shi],
Adaptive ROI generation for video object segmentation using reinforcement learning,
PR(106), 2020, pp. 107465.
Elsevier DOI 2006
Model adaptation, Video object segmentation, Reinforcement learning, Training accelerate BibRef

Sun, M.J.[Ming-Jie], Xiao, J.[Jimin], Lim, E.G.[Eng Gee], Zhao, C.R.[Cai-Rong], Zhao, Y.[Yao],
Unified Multi-Modality Video Object Segmentation Using Reinforcement Learning,
CirSysVideo(34), No. 8, August 2024, pp. 6722-6734.
IEEE DOI 2408
Image segmentation, Visualization, Linguistics, Filtration, Task analysis, Hidden Markov models, Predictive models, reinforcement learning BibRef

Hu, P.[Ping], Wang, G.[Gang], Kong, X.F.[Xiang-Fei], Kuen, J.[Jason], Tan, Y.P.[Yap-Peng],
Motion-Guided Cascaded Refinement Network for Video Object Segmentation,
PAMI(42), No. 8, August 2020, pp. 1957-1967.
IEEE DOI 2007
BibRef
Earlier: CVPR18(1400-1409)
IEEE DOI 1812
Motion segmentation, Active contours, Optical imaging, Image segmentation, Optical propagation, Task analysis, spatial-temporal embedding. Image segmentation, Optical sensors, Level set, Object segmentation BibRef

Gui, Y., Tian, Y., Zeng, D.J., Xie, Z.F., Cai, Y.Y.,
Reliable and Dynamic Appearance Modeling and Label Consistency Enforcing for Fast and Coherent Video Object Segmentation With the Bilateral Grid,
CirSysVideo(30), No. 12, December 2020, pp. 4781-4795.
IEEE DOI 2012
Motion segmentation, Object segmentation, Reliability, Video sequences, Color, Computational modeling, Proposals, video object segmentation BibRef

Guzman-Pando, A.[Abimael], Chacon-Murguia, M.I.[Mario Ignacio], Chacon-Diaz, L.B.[Lucia B.],
Human-like evaluation method for object motion detection algorithms,
IET-CV(14), No. 8, December 2020, pp. 674-682.
DOI Link 2012
BibRef

Deng, J., Pan, Y., Yao, T., Zhou, W., Li, H., Mei, T.,
Single Shot Video Object Detector,
MultMed(23), 2021, pp. 846-858.
IEEE DOI 2103
Object detection, Detectors, Feature extraction, Proposals, Cats, Airplanes, Coherence, Video object detection, feature aggregation BibRef

Patil, P.W.[Prashant W.], Dudhane, A.[Akshay], Murala, S.[Subrahmanyam], Gonde, A.B.[Anil Balaji],
Deep Adversarial Network for Scene Independent Moving Object Segmentation,
SPLetters(28), 2021, pp. 489-493.
IEEE DOI 2103
Videos, Feature extraction, Training, Decoding, Generators, Analytical models, Transfer learning, video surveillance BibRef

Patil, P.W.[Prashant W.], Dudhane, A.[Akshay], Murala, S.[Subrahmanyam],
Multi-frame Recurrent Adversarial Network for Moving Object Segmentation,
WACV21(2301-2310)
IEEE DOI 2106
Training, Convolution, Motion segmentation, Object segmentation, Benchmark testing, Feature extraction BibRef

Patil, P.W.[Prashant W.], Biradar, K.M.[Kuldeep M.], Dudhane, A.[Akshay], Murala, S.[Subrahmanyam],
An End-to-End Edge Aggregation Network for Moving Object Segmentation,
CVPR20(8146-8155)
IEEE DOI 2008
Videos, Feature extraction, Decoding, Object segmentation, Optical imaging, Task analysis, Visualization BibRef

Chaudhary, S.[Sachin], Dudhane, A.[Akshay], Patil, P.W.[Prashant W.], Murala, S.[Subrahmanyam], Talbar, S.[Sanjay],
Motion estimation in hazy videos,
PRL(150), 2021, pp. 130-138.
Elsevier DOI 2109
Scene understanding, Motion estimation BibRef

Jiang, C.[Cansen], Paudel, D.P.[Danda Pani], Fofi, D.[David], Fougerolle, Y.[Yohan], Demonceaux, C.[Cédric],
Moving Object Detection by 3D Flow Field Analysis,
ITS(22), No. 4, April 2021, pp. 1950-1963.
IEEE DOI 2104
Trajectory, Clustering algorithms, Motion segmentation, Image reconstruction, Dynamics, Tracking, 3D map reconstruction BibRef

Chen, C.Z.[Chengli-Zhao], Wang, G.T.[Guo-Tao], Peng, C.[Chong], Fang, Y.M.[Yu-Ming], Zhang, D.W.[Ding-Wen], Qin, H.[Hong],
Exploring Rich and Efficient Spatial Temporal Interactions for Real-Time Video Salient Object Detection,
IP(30), 2021, pp. 3995-4007.
IEEE DOI 2104
Spatiotemporal phenomena, Convolution, Optical sensors, Decoding, Optical network units, Optical imaging, multiscale spatiotemporal deep features BibRef

Xu, M.Z.[Ming-Zhu], Fu, P.[Ping], Liu, B.[Bing], Li, J.B.[Jun-Bao],
Multi-Stream Attention-Aware Graph Convolution Network for Video Salient Object Detection,
IP(30), 2021, pp. 4183-4197.
IEEE DOI 2104
Spatiotemporal phenomena, Convolution, Data models, Visualization, Adaptation models, Object segmentation, Task analysis, node-wise attention mechanism BibRef

Huang, Y.[Ying], Jiang, Q.H.[Qing-Han], Qian, Y.[Ying],
A Novel Method for Video Moving Object Detection Using Improved Independent Component Analysis,
CirSysVideo(31), No. 6, June 2021, pp. 2217-2230.
IEEE DOI 2106
Object detection, Adaptive optics, Optical imaging, Integrated optics, Optical noise, Source separation, threshold BibRef

Zhao, Z.J.[Zong-Ji], Zhao, S.Y.[San-Yuan], Shen, J.B.[Jian-Bing],
Real-time and light-weighted unsupervised video object segmentation network,
PR(120), 2021, pp. 108120.
Elsevier DOI 2109
Unsupervised video object segmentation, Salient object detection BibRef

Yu, S.Y.[Si-Yue], Xiao, J.[Jimin], Zhang, B.F.[Bing-Feng], Lim, E.G.[Eng Gee], Zhao, Y.[Yao],
Fast pixel-matching for video object segmentation,
SP:IC(98), 2021, pp. 116373.
Elsevier DOI 2109
Non-local pixel matching, Mask-propagation, Encoder-decoder BibRef

Li, R.C.[Rong-Chang], Wu, X.J.[Xiao-Jun], Wu, C.[Cong], Xu, T.Y.[Tian-Yang], Kittler, J.V.[Josef V.],
Dynamic information enhancement for video classification,
IVC(114), 2021, pp. 104244.
Elsevier DOI 2109
Video classification, Spatiotemporal modelling, Explicitly encoding, Adaptive excitation BibRef

Patil, P.W.[Prashant W.], Dudhane, A.[Akshay], Kulkarni, A.[Ashutosh], Murala, S.[Subrahmanyam], Gonde, A.B.[Anil Balaji], Gupta, S.I.[Sun-Il],
An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments,
IP(30), 2021, pp. 7889-7902.
IEEE DOI 2109
Decoding, Feature extraction, Object segmentation, Training, Task analysis, Optical imaging, Dynamics, various surveillance environments BibRef

Cheng, J.C.[Jing-Chun], Yuan, Y.H.[Yu-Hui], Li, Y.[Yali], Wang, J.D.[Jing-Dong], Wang, S.J.[Sheng-Jin],
Learning to Segment Video Object With Accurate Boundaries,
MultMed(23), 2021, pp. 3112-3123.
IEEE DOI 2109
Task analysis, Training, Object segmentation, Prediction algorithms, Image segmentation, Semantics, Proposals, joint learning BibRef

Han, L.[Liang], Wang, P.C.[Pi-Chao], Yin, Z.Z.[Zhao-Zheng], Wang, F.[Fan], Li, H.[Hao],
Context and Structure Mining Network for Video Object Detection,
IJCV(129), No. 10, October 2021, pp. 2927-2946.
Springer DOI 2110
BibRef

Wang, H.[Hui], Liu, W.B.[Wei-Bin], Xing, W.W.[Wei-Wei],
Video object segmentation via random walks on two-frame graphs comprising superpixels,
JVCIR(80), 2021, pp. 103293.
Elsevier DOI 2110
Random walks, Video object segmentation, Optical flow gradient, Spatiotemporal consistency BibRef

Xu, K.[Kai], Wen, L.Y.[Long-Yin], Li, G.R.[Guo-Rong], Huang, Q.M.[Qing-Ming],
Self-Supervised Deep TripleNet for Video Object Segmentation,
MultMed(23), 2021, pp. 3530-3539.
IEEE DOI 2110
Training, Object segmentation, Motion segmentation, Image matching, Video sequences, Task analysis, Annotations, self-supervised learning BibRef

Banerjee, S.[Sreya], VidalMata, R.G.[Rosaura G.], Wang, Z.Y.[Zhang-Yang], Scheirer, W.J.[Walter J.],
Report on UG2+ challenge Track 1: Assessing algorithms to improve video object detection and classification from unconstrained mobility platforms,
CVIU(213), 2021, pp. 103297.
Elsevier DOI 2112
Computational photography, Object recognition, Object detection, Evaluation protocols, Deep learning BibRef

Jin, R.B.[Rui-Bing], Lin, G.S.[Guo-Sheng], Wen, C.Y.[Chang-Yun], Wang, J.L.[Jian-Liang], Liu, F.[Fayao],
Feature flow: In-network feature flow estimation for video object detection,
PR(122), 2022, pp. 108323.
Elsevier DOI 2112
Video object detection, Feature flow, Object detection, Video analysis, Deep convolutional neural network (DCNN) BibRef

Zhu, L.[Li], Xie, Z.[Zihao], Luo, J.[Jing], Qi, Y.H.[Yu-Hang], Liu, L.M.[Li-Man], Tao, W.B.[Wen-Bing],
Dynamic Object Detection Algorithm Based on Lightweight Shared Feature Pyramid,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Oh, S.W.[Seoung Wug], Lee, J.Y.[Joon-Young], Xu, N.[Ning], Kim, S.J.[Seon Joo],
Space-Time Memory Networks for Video Object Segmentation With User Guidance,
PAMI(44), No. 1, January 2022, pp. 442-455.
IEEE DOI 2112
BibRef
Earlier:
Video Object Segmentation Using Space-Time Memory Networks,
ICCV19(9225-9234)
IEEE DOI 2004
Object segmentation, Task analysis, Learning systems, Feature extraction, Runtime, Detectors, Visualization, memory networks. image segmentation, learning (artificial intelligence), query processing, video signal processing, Benchmark testing BibRef

Giraldo, J.H.[Jhony H.], Javed, S.[Sajid], Bouwmans, T.[Thierry],
Graph Moving Object Segmentation,
PAMI(44), No. 5, May 2022, pp. 2485-2503.
IEEE DOI 2204
Videos, Task analysis, Signal processing algorithms, Object segmentation, Semisupervised learning, Deep learning, video object segmentation BibRef

Cores, D.[Daniel], Brea, V.M.[Víctor M.], Mucientes, M.[Manuel],
Short-term anchor linking and long-term self-guided attention for video object detection,
IVC(110), 2021, pp. 104179.
Elsevier DOI 2106
Video object detection, Spatio-temporal features, Convolutional neural networks BibRef

Lyu, Y.[Ye], Yang, M.Y.[Michael Ying], Vosselman, G.[George], Xia, G.S.[Gui-Song],
Video object detection with a convolutional regression tracker,
PandRS(176), 2021, pp. 139-150.
Elsevier DOI 2106
Video object detection, Plug & Play, Convolutional regression tracker, Deep learning, Tracking BibRef

Cao, Y.[Ying], Sun, L.J.[Li-Juan], Han, C.[Chong], Guo, J.[Jian],
Attention-based video object segmentation algorithm,
IET-IPR(15), No. 8, 2021, pp. 1668-1678.
DOI Link 2106
BibRef

En, Q.[Qing], Duan, L.J.[Li-Juan], Zhang, Z.X.[Zhao-Xiang],
Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object Segmentation,
IP(30), 2021, pp. 8155-8169.
IEEE DOI 2110
Spatiotemporal phenomena, Feature extraction, Motion segmentation, Annotations, Training, Task analysis, spatiotemporal saliency BibRef

He, F.[Fei], Li, Q.[Qiaozhe], Zhao, X.[Xin], Huang, K.Q.[Kai-Qi],
Temporal-adaptive sparse feature aggregation for video object detection,
PR(127), 2022, pp. 108587.
Elsevier DOI 2205
Video object detection, Temporal-adaptive sparse sampling, Pixel-adaptive aggregation, Object-relational aggregation BibRef

Xi, L.[Lin], Chen, W.H.[Wei-Hai], Wu, X.M.[Xing-Ming], Liu, Z.[Zhong], Li, Z.G.[Zheng-Guo],
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation,
CirSysVideo(32), No. 9, September 2022, pp. 6279-6292.
IEEE DOI 2209
Feature extraction, Motion compensation, Optical flow, Correlation, Object segmentation, Finite element analysis, Video sequences, motion compensation BibRef

Xi, L.[Lin], Chen, W.H.[Wei-Hai], Wu, X.M.[Xing-Ming], Liu, Z.[Zhong], Li, Z.G.[Zheng-Guo],
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering,
CirSysVideo(34), No. 2, February 2024, pp. 995-1006.
IEEE DOI Code:
WWW Link. 2402
Motion segmentation, Optical flow, Streaming media, Prototypes, Optimization, Object segmentation, Clustering algorithms, clustering methods BibRef

Han, L.[Liang], Wang, P.[Pichao], Yin, Z.Z.[Zhao-Zheng], Wang, F.[Fan], Li, H.[Hao],
Class-Aware Feature Aggregation Network for Video Object Detection,
CirSysVideo(32), No. 12, December 2022, pp. 8165-8178.
IEEE DOI 2212
Feature extraction, Object detection, Detectors, Aggregates, Optical imaging, Optical propagation, Video object detection, feature alignment BibRef

Xu, X.[Xun], Zhang, L.[Le], Cheong, L.F.[Loong-Fah], Li, Z.[Zhuwen], Zhu, C.[Ce],
Learning Clustering for Motion Segmentation,
CirSysVideo(32), No. 3, March 2022, pp. 908-919.
IEEE DOI 2203
Data models, Motion segmentation, Tuning, Deep learning, Trajectory, Feature extraction, Motion segmentation, deep learning, subspace clustering BibRef

Balachandran, G., Krishnan, J.V.G.[J. Venu Gopala],
Machine learning based video segmentation of moving scene by motion index using IO detector and shot segmentation,
IVC(122), 2022, pp. 104443.
Elsevier DOI 2205
Video segmentation, Machine learning, Soft voting, Segmentation, Gray level matrix, Audio transformation BibRef

Lin, F.C.[Fan-Chao], Xie, H.T.[Hong-Tao], Liu, C.B.[Chuan-Bin], Zhang, Y.D.[Yong-Dong],
Bilateral Temporal Re-Aggregation for Weakly-Supervised Video Object Segmentation,
CirSysVideo(32), No. 7, July 2022, pp. 4498-4512.
IEEE DOI 2207
Task analysis, Object segmentation, Target tracking, Benchmark testing, Aggregates, Training, Reliability, weakly-supervised prediction BibRef

Fujitake, M.[Masato], Sugimoto, A.[Akihiro],
Temporal feature enhancement network with external memory for live-stream video object detection,
PR(131), 2022, pp. 108847.
Elsevier DOI 2208
BibRef
Earlier:
Temporal Feature Enhancement Network with External Memory for Object Detection in Surveillance Video,
ICPR21(7684-7691)
IEEE DOI 2105
Video object detection, Video analysis, Object detection. Visualization, Interpolation, Surveillance, Object detection, Streaming media, Traffic control, Feature extraction BibRef

Liu, J.J.[Jia-Jia], Dai, H.N.[Hong-Ning], Zhao, G.Y.[Guo-Ying], Li, B.[Bo], Zhang, T.Q.[Tian-Qi],
TMVOS: Triplet Matching for Efficient Video Object Segmentation,
SP:IC(107), 2022, pp. 116779.
Elsevier DOI 2208
Video object segmentation, Embedding learning, Triplet matching BibRef

Xi, Y.[Yue], Jia, W.J.[Wen-Jing], Miao, Q.G.[Qi-Guang], Liu, X.Z.[Xiang-Zeng], Fan, X.C.[Xiao-Chen], Li, H.[Hanhui],
FiFoNet: Fine-Grained Target Focusing Network for Object Detection in UAV Images,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, M.M.[Meng-Meng], Mei, J.B.[Jian-Biao], Liu, L.[Lina], Tian, G.Z.[Guan-Zhong], Liu, Y.[Yong], Pan, Z.S.[Zai-Sheng],
Delving Deeper Into Mask Utilization in Video Object Segmentation,
IP(31), 2022, pp. 6255-6266.
IEEE DOI 2210
Task analysis, Target tracking, Object segmentation, Decoding, Visualization, Video sequences, Training, mask-enhanced matcher BibRef

Fang, F.[Fen], Xu, Q.L.[Qian-Li], Cheng, Y.[Yi], Sun, Y.[Ying], Lim, J.H.[Joo-Hwee],
Image Understanding With Reinforcement Learning: Auto-Tuning Image Attributes and Model Parameters for Object Detection and Segmentation,
CirSysVideo(32), No. 10, October 2022, pp. 6671-6685.
IEEE DOI 2210
Mathematical models, Object detection, Task analysis, Adaptation models, Training, Tuning, Image segmentation, multi-branch learning BibRef

Xu, C.[Chao], Zhang, J.N.[Jiang-Ning], Wang, M.M.[Meng-Meng], Tian, G.Z.[Guan-Zhong], Liu, Y.[Yong],
Multilevel Spatial-Temporal Feature Aggregation for Video Object Detection,
CirSysVideo(32), No. 11, November 2022, pp. 7809-7820.
IEEE DOI 2211
Feature extraction, Proposals, Object detection, Optical flow, Detectors, Aggregates, Tracking, Video object detection, instance ID constraint BibRef

Gao, M.Q.[Ming-Qi], Han, J.G.[Jun-Gong], Zheng, F.[Feng], Yu, J.J.Q.[James J.Q.], Montana, G.[Giovanni],
Video Object Segmentation using Point-based Memory Network,
PR(134), 2023, pp. 109073.
Elsevier DOI 2212
Video object segmentation, Point-based feature matching, Adaptive matching module BibRef

Guo, P.[Pinxue], Zhang, W.[Wei], Li, X.Q.[Xiao-Qiang], Zhang, W.Q.[Wen-Qiang],
Adaptive Online Mutual Learning Bi-Decoders for Video Object Segmentation,
IP(31), 2022, pp. 7063-7077.
IEEE DOI 2212
Feature extraction, Adaptation models, Video sequences, Training, Predictive models, Task analysis, Object segmentation, bi-decoders mutual learning BibRef

Qi, Q.[Qiang], Wang, X.[Xiao], Hou, T.X.[Tian-Xiang], Yan, Y.[Yan], Wang, H.Z.[Han-Zi],
FastVOD-Net: A Real-Time and High-Accuracy Video Object Detector,
ITS(23), No. 11, November 2022, pp. 20926-20942.
IEEE DOI 2212
Object detection, Streaming media, Feature extraction, Real-time systems, Detectors, Task analysis, Semantics, real-time detection BibRef

Huang, P.H.[Peng-Hui], Xia, X.G.[Xiang-Gen], Wang, L.Y.[Ling-Yu], Liu, X.Z.[Xing-Zhao], Liao, G.S.[Gui-Sheng],
A Coherent Integration Method for Moving Target Detection in a Parameter Jittering Radar System Based on Signum Coding,
SPLetters(29), 2022, pp. 2313-2317.
IEEE DOI 2212
Radar, Radar cross-sections, Harmonic analysis, Time-frequency analysis, Radar countermeasures, Couplings, nonuniform sampling BibRef

Chen, P.Y.[Ping-Yang], Hsieh, J.W.[Jun-Wei], Gochoo, M.[Munkhjargal], Chen, Y.S.[Yong-Sheng],
Mixed Stage Partial Network and Background Data Augmentation for Surveillance Object Detection,
ITS(23), No. 12, December 2022, pp. 23533-23547.
IEEE DOI 2212
BibRef
Earlier:
Light-Weight Mixed Stage Partial Network for Surveillance Object Detection with Background Data Augmentation,
ICIP21(3333-3337)
IEEE DOI 2201
Feature extraction, Object detection, Detectors, Roads, Vehicle detection, Benchmark testing, Videos, MSPNet, autonomous driving. Roads, Surveillance, Image processing, Computational efficiency, MSPNet, background subtraction BibRef

Otgonbold, M.E.[Munkh-Erdene], Batnasan, G.[Ganzorig], Gochoo, M.[Munkhjargal],
Simple In-place Data Augmentation for Surveillance Object Detection,
AICity24(7208-7216)
IEEE DOI 2410
Image segmentation, Surveillance, Scalability, Object detection, Data augmentation, Cameras, Fisheye, Data augmentation, Surveillance BibRef

Zhou, Y.F.[Yi-Feng], Xu, X.[Xing], Shen, F.M.[Fu-Min], Zhu, X.F.[Xiao-Feng], Shen, H.T.[Heng Tao],
Flow-Edge Guided Unsupervised Video Object Segmentation,
CirSysVideo(32), No. 12, December 2022, pp. 8116-8127.
IEEE DOI 2212
Motion segmentation, Feature extraction, Object segmentation, Image edge detection, Deep learning, Image segmentation, deep learning BibRef

Seong, H.J.[Hong-Je], Hyun, J.[Junhyuk], Kim, E.T.[Eun-Tai],
Video Object Segmentation Using Kernelized Memory Network With Multiple Kernels,
PAMI(45), No. 2, February 2023, pp. 2595-2612.
IEEE DOI 2301
BibRef
Earlier:
Kernelized Memory Network for Video Object Segmentation,
ECCV20(XXII:629-645).
Springer DOI 2011
Kernel, Correlation, Automobiles, Training, Task analysis, Object segmentation, Image segmentation, hide-and-seek BibRef

Seong, H.J.[Hong-Je], Oh, S.W.[Seoung Wug], Lee, J.Y.[Joon-Young], Lee, S.W.[Seong-Won], Lee, S.[Suhyeon], Kim, E.T.[Eun-Tai],
Hierarchical Memory Matching Network for Video Object Segmentation,
ICCV21(12869-12878)
IEEE DOI 2203
Codes, Memory management, Semantics, Hidden Markov models, Object segmentation, Benchmark testing, Motion and tracking, grouping and shape BibRef

Yan, L.B.[Long-Bin], Qin, Y.X.[Yun-Xiao], Chen, J.[Jie],
Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution,
CirSysVideo(33), No. 1, January 2023, pp. 242-256.
IEEE DOI 2301
Feature extraction, Detectors, Head, Image resolution, Task analysis, Semantics, Object detection, multi-scale features fusion BibRef

Zhou, Q.Y.[Qian-Yu], Li, X.T.[Xiang-Tai], He, L.[Lu], Yang, Y.[Yibo], Cheng, G.L.[Guang-Liang], Tong, Y.H.[Yun-Hai], Ma, L.Z.[Li-Zhuang], Tao, D.C.[Da-Cheng],
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers,
PAMI(45), No. 6, June 2023, pp. 7853-7869.
IEEE DOI 2305
Transformers, Object detection, Pipelines, Detectors, Streaming media, Fuses, Task analysis, Video object detection, video understanding BibRef

Dang, J.S.[Ji-Sheng], Zheng, H.[Huicheng], Lai, J.M.[Jin-Ming], Yan, X.[Xu], Guo, Y.L.[Yu-Lan],
Efficient and Robust Video Object Segmentation Through Isogenous Memory Sampling and Frame Relation Mining,
IP(32), 2023, pp. 3924-3938.
IEEE DOI 2307
Object segmentation, Task analysis, Semantics, Memory management, IP networks, Video sequences, Transformers, temporal memory BibRef

Qi, Q.[Qiang], Hou, T.X.[Tian-Xiang], Lu, Y.[Yang], Yan, Y.[Yan], Wang, H.Z.[Han-Zi],
DGRNet: A Dual-Level Graph Relation Network for Video Object Detection,
IP(32), 2023, pp. 4128-4141.
IEEE DOI 2307
Feature extraction, Object detection, Detectors, Proposals, Task analysis, Aggregates, Dogs, Video object detection, node topology affinity measure BibRef

Qi, Q.[Qiang], Hou, T.X.[Tian-Xiang], Yan, Y.[Yan], Lu, Y.[Yang], Wang, H.Z.[Han-Zi],
TCNet: A Novel Triple-Cooperative Network for Video Object Detection,
CirSysVideo(33), No. 8, August 2023, pp. 3649-3662.
IEEE DOI 2308
Proposals, Object detection, Semantics, Feature extraction, Location awareness, Object recognition, Task analysis, structural relation learning BibRef

Gao, X.C.[Xuan-Chang], Liu, X.[Xilong], Cao, Z.Q.[Zhi-Qiang], Tan, M.[Min], Yu, J.Z.[Jun-Zhi],
Dynamic Rigid Bodies Mining and Motion Estimation Based on Monocular Camera,
Cyber(53), No. 9, September 2023, pp. 5655-5666.
IEEE DOI 2309
BibRef

Muthu, S.[Sundaram], Tennakoon, R.[Ruwan], Rathnayake, T.[Tharindu], Hoseinnezhad, R.[Reza], Suter, D.[David], Bab-Hadiashar, A.[Alireza],
Generalized framework for image and video object segmentation using affinity learning and message passing GNNS,
CVIU(236), 2023, pp. 103812.
Elsevier DOI 2310
Unsupervised video object segmentation, Image segmentation, Lifted multi-cuts, Graph neural networks, Affinity learning BibRef

Gao, M.Q.[Ming-Qi], Yang, J.Y.[Jin-Yu], Han, J.G.[Jun-Gong], Lu, K.[Ke], Zheng, F.[Feng], Montana, G.[Giovanni],
Decoupling Multimodal Transformers for Referring Video Object Segmentation,
CirSysVideo(33), No. 9, September 2023, pp. 4518-4528.
IEEE DOI Code:
WWW Link. 2310
BibRef

Lin, F.C.[Fan-Chao], Qiu, Z.F.[Zhao-Fan], Liu, C.B.[Chuan-Bin], Yao, T.[Ting], Xie, H.T.[Hong-Tao], Zhang, Y.D.[Yong-Dong],
Prototypical Matching Networks for Video Object Segmentation,
IP(32), 2023, pp. 5623-5636.
IEEE DOI 2310
BibRef

Han, L.[Liang], Yin, Z.Z.[Zhao-Zheng],
Global Memory and Local Continuity for Video Object Detection,
MultMed(25), 2023, pp. 3681-3693.
IEEE DOI 2310
BibRef

Tian, D.[Di], Han, Y.[Yi], Liu, Y.T.[Yong-Tao], Li, J.[Jiabo], Zhang, P.[Ping], Liu, M.[Ming],
Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes,
RS(15), No. 20, 2023, pp. 4991.
DOI Link 2310
BibRef

Li, P.[Ping], Zhang, Y.[Yu], Yuan, L.[Li], Xiao, H.X.[Hua-Xin], Lin, B.B.[Bin-Bin], Xu, X.H.[Xiang-Hua],
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation,
PR(146), 2024, pp. 110078.
Elsevier DOI 2311
Unsupervised video object segmentation, Long temporal memory, Short temporal attention, Efficient projection BibRef

Lin, W.H.[Wei-Hao], Chen, T.[Tao], Yu, C.[Chong],
SpVOS: Efficient Video Object Segmentation With Triple Sparse Convolution,
IP(32), 2023, pp. 5977-5991.
IEEE DOI 2311
BibRef

Cho, E.[Enki], Kim, M.[Minkuk], Kim, H.I.[Hyung-Il], Moon, J.[Jinyoung], Kim, S.T.[Seong Tae],
Exploiting recollection effects for memory-based video object segmentation,
IVC(140), 2023, pp. 104866.
Elsevier DOI 2312
Deep learning, Memory networks, Video object segmentation BibRef

Pei, G.S.[Gen-Sheng], Shen, F.M.[Fu-Min], Yao, Y.Z.[Ya-Zhou], Chen, T.[Tao], Hua, X.S.[Xian-Sheng], Shen, H.T.[Heng-Tao],
Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation,
IP(32), 2023, pp. 5909-5920.
IEEE DOI Code:
WWW Link. 2311
BibRef

Pei, G.S.[Gen-Sheng], Yao, Y.Z.[Ya-Zhou], Shen, F.M.[Fu-Min], Huang, D.[Dan], Huang, X.G.[Xing-Guo], Shen, H.T.[Heng-Tao],
Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object Segmentation,
IP(32), 2023, pp. 2348-2359.
IEEE DOI 2305
Motion segmentation, Optical imaging, Optical propagation, Adaptive optics, Optical fiber networks, Phase change materials, cross-modal BibRef

Tang, Y.[Yin], Chen, T.[Tao], Jiang, X.[Xiruo], Yao, Y.Z.[Ya-Zhou], Xie, G.S.[Guo-Sen], Shen, H.T.[Heng-Tao],
Holistic Prototype Attention Network for Few-Shot Video Object Segmentation,
CirSysVideo(34), No. 8, August 2024, pp. 6699-6709.
IEEE DOI Code:
WWW Link. 2408
Prototypes, Task analysis, Object segmentation, Semantic segmentation, Semantics, Feature extraction, Annotations, few-shot semantic segmentation BibRef

Pei, G.S.[Gen-Sheng], Shen, F.M.[Fu-Min], Yao, Y.Z.[Ya-Zhou], Xie, G.S.[Guo-Sen], Tang, Z.M.[Zhen-Min], Tang, J.H.[Jin-Hui],
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation,
ECCV22(XXXIV:596-613).
Springer DOI 2211
BibRef

Han, M.F.[Ming-Fei], Wang, Y.[Yali], Li, M.J.[Ming-Jie], Chang, X.J.[Xiao-Jun], Yang, Y.[Yi], Qiao, Y.[Yu],
Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection,
IP(33), 2024, pp. 1560-1573.
IEEE DOI 2403
BibRef
Earlier: A1, A2, A4, A6, Only:
Mining Inter-video Proposal Relations for Video Object Detection,
ECCV20(XXI:431-446).
Springer DOI 2011
Proposals, Object detection, Detectors, Annotations, Task analysis, Training, Benchmark testing, Video object detection, holistic-view refinement BibRef

Gao, Q.Q.[Qi-Qi], Zhong, W.[Wanjun], Li, J.[Jie], Zhao, T.J.[Tie-Jun],
CLUE: Contrastive language-guided learning for referring video object segmentation,
PRL(178), 2024, pp. 115-121.
Elsevier DOI 2402
Video object segmentation, Multi-modal, Contrastive learning, Deep learning BibRef

Kini, J.[Jyoti], Khan, F.S.[Fahad Shahbaz], Khan, S.[Salman], Shah, M.[Mubarak],
CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation,
CVIU(238), 2024, pp. 103860.
Elsevier DOI 2312
Self-supervised learning, Video representation BibRef

Hong, J.H.[Jia-Hao], Zhang, W.[Wei], Feng, Z.W.[Zhi-Wei], Zhang, W.Q.[Wen-Qiang],
Dual Cross-Attention for Video Object Segmentation via Uncertainty Refinement,
MultMed(25), 2023, pp. 7710-7725.
IEEE DOI 2312
BibRef

Wu, L.Y.[Ling-Yun], Gao, X.[Xiang], Hu, Z.Q.[Zhi-Qiang], Zhang, S.T.[Shao-Ting],
Pattern-Aware Transformer: Hierarchical Pattern Propagation in Sequential Medical Images,
MedImg(43), No. 1, January 2024, pp. 405-415.
IEEE DOI Code:
WWW Link. 2401
BibRef

Rahmon, G.[Gani], Palaniappan, K.[Kannappan], Toubal, I.E.[Imad Eddine], Bunyak, F.[Filiz], Rao, R.[Raghuveer], Seetharaman, G.[Guna],
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation,
IJCV(132), No. 3, March 2024, pp. 776-804.
Springer DOI 2402
BibRef
Earlier: A1, A4, A6, A2, Only:
Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation,
ICPR21(8125-8132)
IEEE DOI 2105
Training, Tensors, Motion estimation, Video sequences, Transfer learning, Training data, moving object, U-Net BibRef

Qi, Q.[Qiang], Yan, Y.[Yan], Wang, H.Z.[Han-Zi],
Class-Aware Dual-Supervised Aggregation Network for Video Object Detection,
MultMed(26), 2024, pp. 2109-2123.
IEEE DOI 2402
Feature extraction, Object detection, Semantics, Proposals, Training, Pipelines, Testing, Video object detection, contrastive supervision BibRef

Pan, J.[Jing], Du, K.W.[Kai-Wen], Yan, Y.[Yan], Wang, H.Z.[Han-Zi],
Dualfeat: Dual Feature Aggregation for Video Object Detection,
ICIP22(2901-2905)
IEEE DOI 2211
Dams, Object detection, Streaming media, Feature extraction, Robustness, Real-time systems, Object tracking, object tracking BibRef

Liang, J.[Jun], Chen, H.S.[Hao-Sheng], Yan, Y.[Yan], Lu, Y.[Yang], Wang, H.Z.[Han-Zi],
Guided Sampling Based Feature Aggregation for Video Object Detection,
ICIP22(1116-1120)
IEEE DOI 2211
Aggregates, Video sequences, Object detection, Feature extraction, Boosting, Proposals, Task analysis, Video Object Detection, Sampling Strategy BibRef

Miao, B.[Bo], Bennamoun, M.[Mohammed], Gao, Y.S.[Yong-Sheng], Mian, A.[Ajmal],
Region Aware Video Object Segmentation With Deep Motion Modeling,
IP(33), 2024, pp. 2639-2651.
IEEE DOI 2404
Tracking, Motion segmentation, Target tracking, Feature extraction, Object segmentation, Memory management, Decoding, feature matching BibRef

Dang, J.S.[Ji-Sheng], Zheng, H.C.[Hui-Cheng], Xu, X.H.[Xiao-Hao], Guo, Y.L.[Yu-Lan],
Unified Spatio-Temporal Dynamic Routing for Efficient Video Object Segmentation,
ITS(25), No. 5, May 2024, pp. 4512-4526.
IEEE DOI 2405
Semantics, Object segmentation, Task analysis, Memory management, Visualization, Vehicle dynamics, Routing, temporal consistency BibRef

Dang, J.S.[Ji-Sheng], Zheng, H.C.[Hui-Cheng], Xu, X.H.[Xiao-Hao], Wang, L.G.[Long-Guang], Guo, Y.L.[Yu-Lan],
Beyond Appearance: Multi-Frame Spatio-Temporal Context Memory Networks for Efficient and Robust Video Object Segmentation,
IP(33), 2024, pp. 4853-4866.
IEEE DOI 2409
Memory management, Feature extraction, Object segmentation, Accuracy, Task analysis, Optical flow, Cognition, sparse memory mechanism BibRef

Dang, J.S.[Ji-Sheng], Zheng, H.[Huicheng], Wang, B.[Bimei], Wang, L.G.[Long-Guang], Guo, Y.L.[Yu-Lan],
Temporo-Spatial Parallel Sparse Memory Networks for Efficient Video Object Segmentation,
ITS(25), No. 11, November 2024, pp. 17291-17304.
IEEE DOI 2411
Memory management, Object segmentation, Task analysis, Motion segmentation, Accuracy, Visualization, Decoding, parallel sparse memory reader BibRef

Lan, M.[Meng], Rong, F.[Fu], Li, Z.[Zuchao], Yu, W.[Wei], Zhang, L.[Lefei],
Bidirectional correlation-driven inter-frame interaction Transformer for referring video object segmentation,
PR(153), 2024, pp. 110535.
Elsevier DOI Code:
WWW Link. 2405
Referring video object segmentation, Multimodal Transformer, Bidirectional multi-level vision-language interaction, Inter-frame interaction BibRef

Li, P.[Ping], Zhang, Y.[Yu], Yuan, L.[Li], Zhao, J.[Jian], Xu, X.H.[Xiang-Hua], Zhang, X.Q.[Xiao-Qin],
Adversarial Attacks on Video Object Segmentation With Hard Region Discovery,
CirSysVideo(34), No. 6, June 2024, pp. 5049-5062.
IEEE DOI 2406
Perturbation methods, Object segmentation, Task analysis, Computational modeling, Predictive models, Object tracking, hard region discovery BibRef

Zhou, Z.[Zihao], Yu, X.G.[Xian-Guo], Wang, X.[Xiangke],
Object detection in drone video based on recurrent motion attention,
PRL(183), 2024, pp. 56-63.
Elsevier DOI 2406
Motion guided, Video object detection, Recurrent representation of retention, Temporal fusion BibRef

Liang, Y.[Yun], Xiao, X.J.[Xin-Jie], Qiu, S.J.[Shao-Jian], Zhang, Y.Q.[Yu-Qing], Su, Z.[Zhuo],
Video object segmentation via couple streams and feature memory,
IET-IPR(18), No. 9, 2024, pp. 2257-2272.
DOI Link 2407
computer graphics, computer vision BibRef

Yang, J.Y.[Jin-Yu], Gao, M.Q.[Ming-Qi], Cong, R.M.[Run-Min], Wang, C.J.[Cheng-Jie], Zheng, F.[Feng], Leonardis, A.[Aleš],
Unveiling the Power of Visible-Thermal Video Object Segmentation,
CirSysVideo(34), No. 7, July 2024, pp. 5376-5388.
IEEE DOI Code:
WWW Link. 2407
Object segmentation, Task analysis, Target tracking, Annotations, Hybrid power systems, Benchmark testing, Cameras, visible-thermal fusion BibRef

Wang, J.X.[Jing-Xin], Zhang, Y.F.[Yun-Feng], Bao, F.X.[Fang-Xun], Liu, Y.T.[Yue-Tong], Zhang, Q.Y.[Qiu-Yue], Zhang, C.M.[Cai-Ming],
Video object segmentation by multi-scale attention using bidirectional strategy,
IVC(148), 2024, pp. 105136.
Elsevier DOI 2407
Video object segmentation, Training strategy, Attention mechanism BibRef

Zhao, X.Q.[Xiao-Qi], Chang, S.J.[Shi-Jie], Pang, Y.U.[Yo-Uwei], Yang, J.X.[Jia-Xing], Zhang, L.[Lihe], Lu, H.C.[Hu-Chuan],
Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation,
IJCV(132), No. 8, August 2024, pp. 3232-3250.
Springer DOI 2408
BibRef

Yuan, Y.C.[Yi-Chen], Wang, Y.F.[Yi-Fan], Wang, L.J.[Li-Jun], Zhao, X.Q.[Xiao-Qi], Lu, H.C.[Hu-Chuan], Wang, Y.[Yu], Su, W.[Weibo], Zhang, L.[Lei],
Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation,
ICCV23(966-976)
IEEE DOI Code:
WWW Link. 2401
BibRef

Yang, Z.X.[Zong-Xin], Miao, J.X.[Jia-Xu], Wei, Y.C.[Yun-Chao], Wang, W.G.[Wen-Guan], Wang, X.H.[Xiao-Han], Yang, Y.[Yi],
Scalable Video Object Segmentation With Identification Mechanism,
PAMI(46), No. 9, September 2024, pp. 6247-6262.
IEEE DOI 2408
Transformers, Benchmark testing, Object segmentation, Decoding, Object recognition, Scalability, Annotations, vision transformer BibRef

Lu, Y.W.[Ya-Wen], Zhang, J.[Jie], Sun, S.[Su], Guo, Q.Y.[Qian-Yu], Cao, Z.W.[Zhi-Wen], Fei, S.[Songlin], Yang, B.[Baijian], Chen, Y.J.V.[Ying-Jie Victor],
Label-Efficient Video Object Segmentation With Motion Clues,
CirSysVideo(34), No. 8, August 2024, pp. 6710-6721.
IEEE DOI 2408
Transformers, Object segmentation, Image segmentation, Task analysis, Motion segmentation, Training, Feature extraction, motion clues BibRef

Hou, Z.Q.[Zhi-Qiang], Li, F.[Fucheng], Dong, J.[Jiale], Dai, N.[Nan], Ma, S.[Sugang], Fan, J.[Jiulun],
Video object segmentation based on dynamic perception update and feature fusion,
IVC(150), 2024, pp. 105156.
Elsevier DOI 2409
Memory network, History frames, Dynamic perception update, Feature fusion, Mask refinement BibRef

Xu, S.[Sen], Wei, S.[Shikui], Ruan, T.[Tao], Liao, L.X.[Li-Xin], Zhao, Y.[Yao],
Each Performs Its Functions: Task Decomposition and Feature Assignment for Audio-Visual Segmentation,
MultMed(26), 2024, pp. 9489-9498.
IEEE DOI 2410
Segment the object instances that produce sound at the time of the video frames. Visualization, Feature extraction, Correlation, Location awareness, Task analysis, Semantics, Image segmentation, Task decomposition BibRef

Duan, L.[Liang], Yang, R.[Rongfei], Yue, K.[Kun], Sun, Z.B.[Zheng-Bao], Yuan, G.W.[Guo-Wu],
Video object detection via space-time feature aggregation and result reuse,
IET-IPR(18), No. 12, 2024, pp. 3356-3367.
DOI Link 2411
feature extraction, object detection BibRef

Li, W.[Wanyun], Fan, J.[Jack], Guo, P.[Pinxue], Hong, L.[Lingyi], Zhang, W.[Wei],
HFVOS: History-Future Integrated Dynamic Memory for Video Object Segmentation,
CirSysVideo(34), No. 10, October 2024, pp. 10208-10222.
IEEE DOI 2411
Streaming media, Memory management, History, Robustness, Redundancy, Pipelines, Feature extraction, Video object segmentation, real-time video object segmentation BibRef

Miao, B.[Bo], Bennamoun, M.[Mohammed], Gao, Y.S.[Yong-Sheng], Shah, M.[Mubarak], Mian, A.[Ajmal],
Temporally Consistent Referring Video Object Segmentation With Hybrid Memory,
CirSysVideo(34), No. 11, November 2024, pp. 11373-11385.
IEEE DOI Code:
WWW Link. 2412
Visualization, Feature extraction, Transformers, Object segmentation, Motion segmentation, Collaboration, deep learning BibRef

Zhang, F.[Fan], Ji, H.B.[Hong-Bing], Zhang, Y.Q.[Yong-Quan], Zhu, Z.G.[Zhi-Gang],
Joint Spatial and Temporal Feature Enhancement Network for Disturbed Object Detection,
CirSysVideo(34), No. 12, December 2024, pp. 12258-12273.
IEEE DOI 2501
Feature extraction, Object detection, Semantics, Aggregates, Detectors, Proposals, Correlation, Video object detection, temporal attention BibRef

Li, X.J.[Xue-Jun], Zong, Y.[Yuan], Zheng, W.M.[Wen-Ming],
Adaptive Multi-Scale Iterative Optimized Video Object Segmentation Based on Correlation Enhancement,
CirSysVideo(34), No. 12, December 2024, pp. 13099-13112.
IEEE DOI 2501
Adaptation models, Motion segmentation, Correlation, Object segmentation, Optimization, Video sequences, multi-scale optimization BibRef

Qi, Q.[Qiang], Qiu, Z.Y.[Zhen-Yu], Yan, Y.[Yan], Lu, Y.[Yang], Wang, H.Z.[Han-Zi],
IMC-Det: Intra-Inter Modality Contrastive Learning for Video Object Detection,
IJCV(133), No. 2, February 2025, pp. 890-909.
Springer DOI 2502
BibRef

Li, X.M.[Xiao-Min], Wang, Q.[Qinghe], Li, D.[Dezhuang], Ge, M.M.[Meng-Meng], Jia, X.[Xu], He, Y.[You], Lu, H.C.[Hu-Chuan],
MoBox: Enhancing Video Object Segmentation With Motion-Augmented Box Supervision,
CirSysVideo(35), No. 1, January 2025, pp. 405-417.
IEEE DOI 2502
Annotations, Training, Optical flow, Task analysis, Object segmentation, Image color analysis, optical flow BibRef

Guo, P.X.[Pin-Xue], Zhang, W.[Wei], Li, X.Q.[Xiao-Qiang], Fan, J.P.[Jian-Ping], Zhang, W.Q.[Wen-Qiang],
Self-supervised video object segmentation via pseudo label rectification,
PR(163), 2025, pp. 111428.
Elsevier DOI 2503
Video object segmentation, Self-supervised learning, Pseudo label learning BibRef

Liu, Y.[Yong], Yu, R.[Ran], Yin, F.[Fei], Zhao, X.Y.[Xin-Yuan], Zhao, W.[Wei], Xia, W.H.[Wei-Hao], Wang, J.H.[Jia-Hao], Wang, Y.T.[Yi-Tong], Tang, Y.S.[Yan-Song], Yang, Y.[Yujiu],
Learning High-Quality Dynamic Memory for Video Object Segmentation,
PAMI(47), No. 5, May 2025, pp. 3452-3468.
IEEE DOI 2504
BibRef
Earlier: A1, A2, A3, A4, A5, A6, A10, Only:
Learning Quality-aware Dynamic Memory for Video Object Segmentation,
ECCV22(XXIX:468-486).
Springer DOI 2211
Quality assessment, Feature extraction, Object segmentation, Benchmark testing, Accuracy, Target recognition, Explosions, memory enhancement BibRef

Qi, Q.[Qiang], Wang, H.Z.[Han-Zi], Yan, Y.[Yan], Li, X.L.[Xue-Long],
DGC-Net: Dynamic Graph Contrastive Network for Video Object Detection,
IP(34), 2025, pp. 2269-2284.
IEEE DOI 2504
Feature extraction, Object detection, Streaming media, Aggregates, Transformers, Contrastive learning, Accuracy, Proposals, feature aggregation BibRef

Qiu, Z.Y.[Zhen-Yu], Qi, Q.[Qiang], Yan, Y.[Yan], Wang, H.Z.[Han-Zi],
DF-Net: Diversity-Focused Network for Video Object Detection,
ICIP23(2105-2109)
IEEE DOI 2312
BibRef

Gao, X.Y.[Xing-Yu], Li, Z.[Zuolei], Shi, H.L.[Hai-Long], Chen, Z.Y.[Zhen-Yu], Zhao, P.L.[Pei-Lin],
Scribble-Supervised Video Object Segmentation via Scribble Enhancement,
CirSysVideo(35), No. 4, April 2025, pp. 2999-3012.
IEEE DOI 2504
Annotations, Training, Object segmentation, Prediction algorithms, Reliability, Accuracy, Costs, Transformers, scribble enhancement BibRef

Hashmi, K.A.[Khurram Azeem], Sheikh, T.U.[Talha Uddin], Stricker, D.[Didier], Afzal, M.Z.[Muhammad Zeshan],
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection,
WACV25(8122-8133)
IEEE DOI 2505
Aggregates, Refining, Graphics processing units, Object detection, Detectors, Benchmark testing, Feature extraction, Proposals, multi object tracking BibRef

Shaker, A.[Abdelrahman], Talal, S.[Syed], Danelljan, M.[Martin], Khan, S.[Salman], Yang, M.H.[Ming-Hsuan], Khan, F.S.[Fahad Shahbaz],
Efficient Video Object Segmentation via Modulated Cross-Attention Memory,
WACV25(8681-8690)
IEEE DOI Code:
WWW Link. 2505
Degradation, Visualization, Memory management, Graphics processing units, Object segmentation, Streaming media, transformer-based vos BibRef

Ouyang, L.Y.[Liang-Yang], Liu, R.C.[Rui-Cong], Huang, Y.F.[Yi-Fei], Furuta, R.[Ryosuke], Sato, Y.[Yoichi],
Actionvos: Actions as Prompts for Video Object Segmentation,
ECCV24(X: 216-235).
Springer DOI 2412
BibRef

Ding, S.[Shuangrui], Qian, R.[Rui], Xu, H.H.[Hao-Hang], Lin, D.[Dahua], Xiong, H.K.[Hong-Kai],
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation,
ECCV24(XLV: 215-233).
Springer DOI 2412
BibRef

Li, W.[Wanyun], Guo, P.[Pinxue], Zhou, X.Y.[Xin-Yu], Hong, L.[Lingyi], He, Y.J.[Yang-Ji], Zheng, X.Y.[Xiang-Yu], Zhang, W.[Wei], Zhang, W.Q.[Wen-Qiang],
Onevos: Unifying Video Object Segmentation with All-in-one Transformer Framework,
ECCV24(LVIII: 20-40).
Springer DOI 2412
BibRef

Chen, M.[Mu], Li, L.[Liulei], Wang, W.G.[Wen-Guan], Quan, R.J.[Rui-Jie], Yang, Y.[Yi],
General and Task-oriented Video Segmentation,
ECCV24(VII: 72-92).
Springer DOI 2412
BibRef

Zhou, Y.K.[Yi-Kang], Zhang, T.[Tao], Ji, S.P.[Shun-Ping], Yan, S.C.[Shui-Cheng], Li, X.T.[Xiang-Tai],
Improving Video Segmentation via Dynamic Anchor Queries,
ECCV24(L: 446-463).
Springer DOI 2412
BibRef

Yan, S.L.[Shi-Lin], Xu, X.H.[Xiao-Hao], Zhang, R.R.[Ren-Rui], Hong, L.Y.[Ling-Yi], Chen, W.C.[Wen-Chao], Zhang, W.Q.[Wen-Qiang], Zhang, W.[Wei],
Panovos: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation,
ECCV24(IX: 346-365).
Springer DOI 2412
BibRef

Tekchandani, R.[Rahul], Maheshwari, R.[Ritik], Hambarde, P.[Praful], Tazi, S.N.[Satya Narayan], Vipparthi, S.K.[Santosh Kumar], Murala, S.[Subrahmanyam],
Luminate: Linguistic Understanding and Multi-Granularity Interaction for Video Object Segmentation,
ICIP24(4028-4034)
IEEE DOI 2411
Measurement, Visualization, Image segmentation, Accuracy, Semantics, Pipelines, Object segmentation, Transformer BibRef

Zhao, Q.[Quan], Wu, S.Y.[Si-Ying], Zhang, Y.[Yueyi], Sun, X.Y.[Xiao-Yan],
Semantic-Enhanced Point-Box Joint Prompting for Video Object Segmentation,
ICIP24(2334-2340)
IEEE DOI 2411
Image segmentation, Accuracy, Semantics, Object segmentation, Benchmark testing, Reliability, Video object segmentation, Memory-based box tracking BibRef

Osman, I.[Islam], Shehata, M.S.[Mohamed S.],
Learn by an Example Transformer for Domain Generalization in Video Object Segmentation,
ICIP24(4014-4020)
IEEE DOI 2411
Image segmentation, Computational modeling, Object segmentation, Transformers, Labeling, deep learning BibRef

Li, M.H.[Ming-Han], Li, S.[Shuai], Zhang, X.D.[Xin-Dong], Zhang, L.[Lei],
UniVS: Unified and Universal Video Segmentation with Prompts as Queries,
CVPR24(3227-3238)
IEEE DOI Code:
WWW Link. 2410
Training, Image segmentation, Visualization, Target tracking, Computational modeling, Semantics, Video Segmentation BibRef

He, S.T.[Shu-Ting], Ding, H.H.[Heng-Hui],
Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation,
CVPR24(13332-13341)
IEEE DOI Code:
WWW Link. 2410
Image segmentation, Codes, Motion segmentation, Computational modeling, Natural languages, Contrastive learning BibRef

Zhou, J.[Junbao], Pang, Z.Q.[Zi-Qi], Wang, Y.X.[Yu-Xiong],
RMem: Restricted Memory Banks Improve Video Object Segmentation,
CVPR24(18602-18611)
IEEE DOI Code:
WWW Link. 2410
Codes, Accuracy, Object segmentation, Benchmark testing, Cognition, video object segmentation, embodied ai, video understanding BibRef

Li, H.[Hebei], Wang, J.[Jin], Yuan, J.[Jiahui], Li, Y.[Yue], Weng, W.M.[Wen-Ming], Peng, Y.S.[Yan-Song], Zhang, Y.[Yueyi], Xiong, Z.W.[Zhi-Wei], Sun, X.Y.[Xiao-Yan],
Event-Assisted Low-Light Video Object Segmentation,
CVPR24(3250-3259)
IEEE DOI Code:
WWW Link. 2410
Accuracy, Motion segmentation, Noise, Object segmentation, Interference, Cameras, Feature extraction BibRef

Cheng, H.K.[Ho Kei], Oh, S.W.[Seoung Wug], Price, B.[Brian], Lee, J.Y.[Joon-Young], Schwing, A.[Alexander],
Putting the Object Back into Video Object Segmentation,
CVPR24(3151-3161)
IEEE DOI 2410
Codes, Accuracy, Computational modeling, Semantics, Noise, Object segmentation, video object segmentation, transformer BibRef

Wu, Z.W.[Zong-Wei], Zheng, J.[Jilai], Ren, X.X.[Xiang-Xuan], Vasluianu, F.A.[Florin-Alexandru], Ma, C.[Chao], Paudel, D.P.[Danda Pani], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Single-Model and Any-Modality for Video Object Tracking,
CVPR24(19156-19166)
IEEE DOI Code:
WWW Link. 2410
Source coding, Benchmark testing, Transformers, Object tracking BibRef

Liu, W.[Weihuang], Shen, X.[Xi], Li, H.[Haolun], Bi, X.L.[Xiu-Li], Liu, B.[Bo], Pun, C.M.[Chi-Man], Cun, X.D.[Xiao-Dong],
Depth-Aware Test-Time Training for Zero-Shot Video Object Segmentation,
CVPR24(19218-19227)
IEEE DOI Code:
WWW Link. 2410
Training, Computational modeling, Modulation, Estimation, Object segmentation, Predictive models, Test-time Training BibRef

Mahadevan, S.[Sabarinath], Zulfikar, I.E.[Idil Esen], Voigtlaender, P.[Paul], Leibe, B.[Bastian],
Point-VOS: Pointing Up Video Object Segmentation,
CVPR24(22217-22226)
IEEE DOI Code:
WWW Link. 2410
Training, Codes, Annotations, Grounding, Image annotation, Object segmentation, video object segmentation, weakly-supervised video object segmentation BibRef

Bompani, L.[Luca], Rusci, M.[Manuele], Palossi, D.[Daniele], Conti, F.[Francesco], Benini, L.[Luca],
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems,
ECVW24(2182-2190)
IEEE DOI Code:
WWW Link. 2410
Accuracy, Program processors, Microcontrollers, Object detection, Artificial neural networks, Detectors, Throughput, Embedded systems BibRef

Zhang, X.G.[Xing-Guang], Chou, C.H.[Chih-Hsien],
Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions,
DEF-AI-MIA24(5010-5019)
IEEE DOI 2410
Training, Degradation, Adaptation models, Noise, Imaging, Object detection, Source-free Domain Adaptation, Adverse Conditions BibRef

Hu, X.[Xiao], Hampiholi, B.[Basavaraj], Neumann, H.[Heiko], Lang, J.[Jochen],
Temporal Context Enhanced Referring Video Object Segmentation,
WACV24(5562-5571)
IEEE DOI Code:
WWW Link. 2404
Technological innovation, Object segmentation, Streaming media, Transformers, Real-time systems, Data models, Decoding, Algorithms, Video recognition and understanding BibRef

Delatolas, T.[Thanos], Kalogeiton, V.[Vicky], Papadopoulos, D.P.[Dim P.],
Learning the What and How of Annotation in Video Object Segmentation,
WACV24(6936-6946)
IEEE DOI 2404
Training, Costs, Annotations, Object segmentation, Manuals, Performance gain, Algorithms, Datasets and evaluations BibRef

Fedynyak, V.[Volodymyr], Romanus, Y.[Yaroslav], Hlovatskyi, B.[Bohdan], Sydor, B.[Bohdan], Dobosevych, O.[Oles], Babin, I.[Igor], Riazantsev, R.[Roman],
DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation,
WACV24(239-248)
IEEE DOI 2404
Deformable models, Adaptation models, Tracking, Shape, Semantics, Memory management, Algorithms, Remote Sensing BibRef

Dang, L.F.[Long-Fei], Yang, M.[Miao], Yi, K.[Kai], Si, B.[Binghe],
A Moving Object Detection Technology for Intelligent Police Based on ViBe Algorithm,
CVIDL23(667-671)
IEEE DOI 2403
Law enforcement, Target recognition, Software algorithms, Object detection, Software, Safety, Security, Moving Target, Detection, MATLAB BibRef

Wu, J.Z.J.[Jay Zhang-Jie], Zhang, D.J.[David Junhao], Hsu, W.[Wynne], Zhang, M.[Mengmi], Shou, M.Z.[Mike Zheng],
Label-Efficient Online Continual Object Detection in Streaming Video,
ICCV23(19189-19198)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, X.[Xiang], Wang, J.L.[Jing-Lu], Xu, X.H.[Xiao-Hao], Li, X.[Xiao], Raj, B.[Bhiksha], Lu, Y.[Yan],
Robust Referring Video Object Segmentation with Cyclic Structural Consensus,
ICCV23(22179-22188)
IEEE DOI 2401
BibRef

Yoo, J.S.[Jun-Sang], Lee, H.[Hongjae], Jung, S.W.[Seung-Won],
Hierarchical Spatiotemporal Transformers for Video Object Segmentation,
NIVT23(795-805)
IEEE DOI 2401
BibRef

Liu, N.[Nian], Nan, K.[Kepan], Zhao, W.[Wangbo], Liu, Y.[Yuanwei], Yao, X.[Xiwen], Khan, S.[Salman], Cholakkal, H.[Hisham], Anwer, R.M.[Rao Muhammad], Han, J.W.[Jun-Wei], Khan, F.S.[Fahad Shahbaz],
Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation,
ICCV23(18816-18825)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tang, J.J.[Jia-Jin], Zheng, G.[Ge], Yang, S.[Sibei],
Temporal Collection and Distribution for Referring Video Object Segmentation,
ICCV23(15420-15430)
IEEE DOI 2401
BibRef

Wu, Q.Q.[Qiang-Qiang], Yang, T.Y.[Tian-Yu], Wu, W.[Wei], Chan, A.B.[Antoni B.],
Scalable Video Object Segmentation with Simplified Framework,
ICCV23(13833-13843)
IEEE DOI Code:
WWW Link. 2401
BibRef

Deng, C.R.[Chao-Rui], Chen, D.[Da], Wu, Q.[Qi],
Identity-Consistent Aggregation for Video Object Detection,
ICCV23(13388-13398)
IEEE DOI 2401
BibRef

Yoo, J.S.[Jun-Sang], Lee, H.[Hongjae], Jung, S.W.[Seung-Won],
Video Object Segmentation-aware Video Frame Interpolation,
ICCV23(12288-12299)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, X.[Xin], Nejadasl, F.K.[Fatemeh Karimi], van Gemert, J.C.[Jan C.], Booij, O.[Olaf], Pintea, S.L.[Silvia L.],
Objects do not disappear: Video object detection by single-frame object location anticipation,
ICCV23(6927-6938)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wu, D.M.[Dong-Ming], Wang, T.[Tiancai], Zhang, Y.[Yuang], Zhang, X.Y.[Xiang-Yu], Shen, J.B.[Jian-Bing],
OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation,
ICCV23(2749-2758)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, G.H.[Guang-Hui], Gao, M.Q.[Ming-Qi], Liu, H.[Heng], Zhen, X.T.[Xian-Tong], Zheng, F.[Feng],
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples,
ICCV23(2684-2693)
IEEE DOI Code:
WWW Link. 2401
BibRef

Sun, R.[Rui], Wang, Y.[Yuan], Mai, H.Y.[Hua-Yu], Zhang, T.Z.[Tian-Zhu], Wu, F.[Feng],
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation,
ICCV23(1218-1228)
IEEE DOI 2401
BibRef

Miao, B.[Bo], Bennamoun, M.[Mohammed], Gao, Y.S.[Yong-Sheng], Mian, A.[Ajmal],
Spectrum-guided Multi-granularity Referring Video Object Segmentation,
ICCV23(920-930)
IEEE DOI Code:
WWW Link. 2401
BibRef

Su, T.[Tiankang], Song, H.H.[Hui-Hui], Liu, D.[Dong], Liu, B.[Bo], Liu, Q.S.[Qing-Shan],
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning,
ICCV23(688-698)
IEEE DOI 2401
BibRef

Han, M.F.[Ming-Fei], Wang, Y.[Yali], Li, Z.H.[Zhi-Hui], Yao, L.[Lina], Chang, X.J.[Xiao-Jun], Qiao, Y.[Yu],
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation,
ICCV23(13368-13377)
IEEE DOI 2401
BibRef

Hong, L.Y.[Ling-Yi], Chen, W.C.[Wen-Chao], Liu, Z.Y.[Zhong-Ying], Zhang, W.[Wei], Guo, P.[Pinxue], Chen, Z.Y.[Zhao-Yu], Zhang, W.Q.[Wen-Qiang],
LVOS: A Benchmark for Long-term Video Object Segmentation,
ICCV23(13434-13446)
IEEE DOI Code:
WWW Link. 2401
BibRef

Dubuisson, I.[Isidore], Muselet, D.[Damien], Ducottet, C.[Christophe], Lang, J.[Jochen],
Fast Context Adaptation for Video Object Segmentation,
CAIP23(I:273-283).
Springer DOI 2312
BibRef

Skartados, E.[Evangelos], Georgiadis, K.[Konstantinos], Yucel, M.K.[M. Kerim], Ioannis, K.[Koskinas], Domi, A.[Armando], Drosou, A.[Anastasios], Manganelli, B.[Bruno], Saà-Garriga, A.[Albert],
TRICKVOS: A Bag of Tricks for Video Object Segmentation,
ICIP23(2430-2434)
IEEE DOI 2312
BibRef

Jo, J.[Junho], Wee, D.Y.[Dong-Yoon], Cho, N.I.[Nam Ik],
OCVOS: Object-Centric Representation for Video Object Segmentation,
ICIP23(1655-1659)
IEEE DOI 2312
BibRef

Lee, S.[Seunghoon], Cho, S.[Suhwan], Lee, D.[Dogyoon], Lee, M.[Minhyeok], Lee, S.Y.[Sang-Youn],
Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation,
ICIP23(1535-1539)
IEEE DOI 2312
BibRef

Gao, Q.Q.[Qi-Qi], Zhong, W.[Wanjun], Li, J.[Jie], Zhao, T.J.[Tie-Jun],
Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation,
ICIP23(685-689)
IEEE DOI 2312
BibRef

Zhang, Y.S.[Yu-Shan], Robinson, A.[Andreas], Magnusson, M.[Maria], Felsberg, M.[Michael],
Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation,
ICIP23(326-330)
IEEE DOI 2312
BibRef

Meunier, E.[Etienne], Bouthemy, P.[Patrick],
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions,
CVPR23(22139-22148)
IEEE DOI 2309
BibRef

Li, L.[Liulei], Wang, W.G.[Wen-Guan], Zhou, T.F.[Tian-Fei], Li, J.[Jianwu], Yang, Y.[Yi],
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation,
CVPR23(18706-18716)
IEEE DOI 2309
BibRef

Athar, A.[Ali], Hermans, A.[Alexander], Luiten, J.[Jonathon], Ramanan, D.[Deva], Leibe, B.[Bastian],
TarViS: A Unified Approach for Target-Based Video Segmentation,
CVPR23(18738-18748)
IEEE DOI 2309
BibRef

Tokmakov, P.[Pavel], Li, J.[Jie], Gaidon, A.[Adrien],
Breaking the 'Object' in Video Object Segmentation,
CVPR23(22836-22845)
IEEE DOI 2309
BibRef

Fedynyak, V.[Volodymyr], Romanus, Y.[Yaroslav], Dobosevych, O.[Oles], Babin, I.[Igor], Riazantsev, R.[Roman],
Global Motion Understanding in Large-Scale Video Object Segmentation,
HVU23(3153-3162)
IEEE DOI 2309
BibRef

Miles, R.[Roy], Yucel, M.K.[Mehmet Kerim], Manganelli, B.[Bruno], Saà-Garriga, A.[Albert],
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation,
CVPR23(10480-10490)
IEEE DOI 2309
BibRef

Cui, Y.M.[Yi-Ming],
Feature Aggregated Queries for Transformer-Based Video Object Detectors,
CVPR23(6365-6376)
IEEE DOI 2309
BibRef

Zhang, Y.R.[Yu-Rong], Li, L.[Liulei], Wang, W.G.[Wen-Guan], Xie, R.[Rong], Song, L.[Li], Zhang, W.J.[Wen-Jun],
Boosting Video Object Segmentation via Space-Time Correspondence Learning,
CVPR23(2246-2256)
IEEE DOI 2309
BibRef

Yan, K.[Kun], Li, X.[Xiao], Wei, F.Y.[Fang-Yun], Wang, J.L.[Jing-Lu], Zhang, C.[Chenbin], Wang, P.[Ping], Lu, Y.[Yan],
Two-shot Video Object Segmentation,
CVPR23(2257-2267)
IEEE DOI 2309
BibRef

Mun, J.[Jonghwan], Shin, M.[Minchul], Han, G.[Gunsoo], Lee, S.H.[Sang-Ho], Ha, S.[Seongsu], Lee, J.[Joonseok], Kim, E.S.[Eun-Sol],
BASSL: Boundary-aware Self-supervised Learning for Video Scene Segmentation,
ACCV22(IV:485-501).
Springer DOI 2307
BibRef

Cores, D.[Daniel], Seidenari, L.[Lorenzo], del Bimbo, A.[Alberto], Brea, V.M.[Víctor M.], Mucientes, M.[Manuel],
Relation Networks for Few-shot Video Object Detection,
IbPRIA23(238-248).
Springer DOI 2307
BibRef

Ding, H.H.[Heng-Hui], Liu, C.[Chang], He, S.T.[Shu-Ting], Jiang, X.D.[Xu-Dong], Torr, P.H.S.[Philip H.S.], Bai, S.[Song],
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes,
ICCV23(20167-20177)
IEEE DOI 2401
BibRef

Moturi, P.[Pradeep], Khanna, M.[Mukund], Singh, K.[Kunal],
YOLO-MAXVOD for Real-Time Video Object Detection,
ICIP23(3145-3149)
IEEE DOI 2312
BibRef

He, J.W.[Jia-Wei], Chen, Y.T.[Yun-Tao], Wang, N.[Naiyan], Zhang, Z.X.[Zhao-Xiang],
3D Video Object Detection with Learnable Object-Centric Global Optimization,
CVPR23(5106-5115)
IEEE DOI 2309
BibRef

Wen, Z.[Zihan], Chen, J.[Jin], Wu, X.X.[Xin-Xiao],
Exploring Spatial-temporal Instance Relationships in an Intermediate Domain for Image-to-video Object Detection,
ACCVWS22(360-375).
Springer DOI 2307

WWW Link. Annotated image used to detect in unannotated video. BibRef

Bejnordi, B.E.[Babak Ehteshami], Habibian, A.[Amirhossein], Porikli, F.M.[Fatih M.], Ghodrati, A.[Amir],
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection,
ECCV22(X:300-316).
Springer DOI 2211
BibRef

Woo, S.[Sanghyun], Park, K.Y.[Kwan-Yong], Oh, S.W.[Seoung Wug], Kweon, I.S.[In So], Lee, J.Y.[Joon-Young],
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection,
ECCV22(XXV:238-258).
Springer DOI 2211
BibRef

Sun, G.X.[Guan-Xiong], Hua, Y.[Yang], Hu, G.S.[Guo-Sheng], Robertson, N.[Neil],
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency,
ECCV22(XXXV:1-16).
Springer DOI 2211
BibRef

Zhang, K.[Kaihua], Zhao, Z.C.[Zi-Cheng], Liu, D.[Dong], Liu, Q.S.[Qing-Shan], Liu, B.[Bo],
Deep Transport Network for Unsupervised Video Object Segmentation,
ICCV21(8761-8770)
IEEE DOI 2203
Training, Measurement, Costs, Fuses, Object segmentation, Feature extraction, Video analysis and understanding BibRef

Su, R.[Rui], Huang, W.J.[Wen-Jing], Ma, H.Y.[Hao-Yu], Song, X.W.[Xiao-Wei], Hu, J.L.[Jing-Lu],
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map,
ICIP21(689-693)
IEEE DOI 2201
Deep learning, Image segmentation, Pose estimation, Neural networks, Object detection, Feature extraction, Entropy, computational savings BibRef

Shrestha, S.[Sahir], Armin, M.A.[Mohammad Ali], Li, H.D.[Hong-Dong], Barnes, N.M.[Nick M.],
Learning to Segment Dominant Object Motion from Watching Videos,
DICTA21(01-08)
IEEE DOI 2201
Training, Image segmentation, Technological innovation, Motion segmentation, Computational modeling, Object segmentation, unsupervised video object segmentation BibRef

Fernandez-Chaves, D.[David], Matez-Bandera, J.L.[Jose Luis], Ruiz-Sarmiento, J.R.[Jose Raul], Monroy, J.[Javier], Petkov, N.[Nicolai], Gonzalez-Jimenez, J.[Javier],
Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics,
CAIP21(II:186-196).
Springer DOI 2112
BibRef

Cui, Y.M.[Yi-Ming],
Dynamic Feature Aggregation for Efficient Video Object Detection,
ACCV22(II:593-609).
Springer DOI 2307
BibRef

Ponimatkin, G.[Georgy], Samet, N.[Nermin], Xiao, Y.[Yang], Du, Y.M.[Yu-Ming], Marlet, R.[Renaud], Lepetit, V.[Vincent],
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation,
WACV23(5881-5892)
IEEE DOI 2302
Training, Semantics, Object segmentation, Linear programming, Solids, Standards BibRef

Cho, S.[Suhwan], Lee, M.[Minhyeok], Lee, S.[Seunghoon], Park, C.[Chaewon], Kim, D.[Donghyeong], Lee, S.Y.[Sang-Youn],
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation,
WACV23(5129-5138)
IEEE DOI 2302
Federated learning, Video sequences, Object segmentation, Benchmark testing, Streaming media, Solids, Real-time systems, Embedded sensing/real-time techniques BibRef

Cho, S.[Suhwan], Lee, M.[Minhyeok], Lee, S.[Seunghoon], Lee, D.[Dogyoon], Choi, H.[Heeseung], Kim, I.J.[Ig-Jae], Lee, S.Y.[Sang-Youn],
Dual Prototype Attention for Unsupervised Video Object Segmentation,
CVPR24(19238-19247)
IEEE DOI Code:
WWW Link. 2410
Codes, Attention mechanisms, Motion segmentation, Prototypes, Collaboration, Object segmentation BibRef

Lee, M.[Minhyeok], Cho, S.[Suhwan], Lee, D.[Dogyoon], Park, C.[Chaewon], Lee, J.[Jungho], Lee, S.Y.[Sang-Youn],
Guided Slot Attention for Unsupervised Video Object Segmentation,
CVPR24(3807-3816)
IEEE DOI Code:
WWW Link. 2410
Filtering, Fuses, Video sequences, Object segmentation, Nearest neighbor methods, Transformers BibRef

Lee, M.[Minhyeok], Cho, S.[Suhwan], Lee, S.H.[Seung-Hoon], Park, C.[Chaewon], Lee, S.Y.[Sang-Youn],
Unsupervised Video Object Segmentation via Prototype Memory Network,
WACV23(5913-5923)
IEEE DOI 2302
Adaptation models, Video sequences, Prototypes, Object segmentation, Feature extraction, Prediction algorithms, BibRef

Hashmi, K.A.[Khurram Azeem], Pagani, A.[Alain], Stricker, D.[Didier], Afzal, M.Z.[Muhammad Zeshan],
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection,
WACV23(2029-2039)
IEEE DOI 2302
Location awareness, Upper bound, Codes, Annotations, Object detection, Detectors, visual reasoning BibRef

Chen, M.H.[Mei-Hong], Lang, J.[Jochen],
TemporalNet: Real-time 2D-3D Video Object Detection,
CRV22(205-212)
IEEE DOI 2301
Training, Convolution, Object detection, Detectors, Streaming media, Network architecture, video processing, object detetction, temporal relation BibRef

Pourganjalikhan, A.[Ali], Poullis, C.[Charalambos],
Adaptive Memory Management for Video Object Segmentation,
CRV22(75-82)
IEEE DOI 2301
Adaptive systems, Memory management, Object segmentation, Streaming media, Indexes, Task analysis, Robots, object tracking, adaptive memory management BibRef

Fürst, M.[Michael], Bhugra, P.[Priyash], Schuster, R.[René], Stricker, D.[Didier],
Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time,
ICPR22(3457-3463)
IEEE DOI 2212
Use predictions from previous frame. Training, Feedback loop, Computational modeling, Training data, Object detection, Detectors, Particle filters BibRef

Yang, J.[Jie], Xia, M.[Mingfu], Zhou, X.[Xue],
Context-aware Deformable Alignment for Video Object Segmentation,
ICPR22(303-309)
IEEE DOI 2212
Deformable models, Object segmentation, Benchmark testing, Robustness, Spatiotemporal phenomena, Object tracking BibRef

Yu, Z.J.[Zhong-Jie], Wang, G.[Gaoang], Chen, L.[Lin], Raschka, S.[Sebastian], Luo, J.B.[Jie-Bo],
When Few-Shot Learning Meets Video Object Detection,
ICPR22(2986-2992)
IEEE DOI 2212
Deep learning, Annotations, Object detection, Detectors, Benchmark testing, Videos BibRef

Chen, X.S.[Xue-Song], Shi, S.S.[Shao-Shuai], Zhu, B.[Benjin], Cheung, K.C.[Ka Chun], Xu, H.[Hang], Li, H.S.[Hong-Sheng],
MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection,
ECCV22(VIII:680-697).
Springer DOI 2211
BibRef

Zhao, Y.[Yue], Krähenbühl, P.[Philipp],
Real-Time Online Video Detection with Temporal Smoothing Transformers,
ECCV22(XXXIV:485-502).
Springer DOI 2211
BibRef

Wang, H.[Han], Tang, J.[Jun], Liu, X.D.[Xiao-Dong], Guan, S.[Shanyan], Xie, R.[Rong], Song, L.[Li],
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection,
ECCV22(VIII:732-747).
Springer DOI 2211
BibRef

Launay, C.[Claire], Vacher, J.[Jonathan], Coen-Cagli, R.[Ruben],
Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models,
ICIP22(4073-4077)
IEEE DOI 2211
Image segmentation, Uncertainty, Motion segmentation, Heuristic algorithms, Soft sensors, Dynamics, Mixture models, Temporal Propagation BibRef

Saxena, P.[Prafulla], Biradar, K.[Kuldeep], Tyagi, D.K.[Dinesh Kumar], Vipparthi, S.K.[Santosh Kumar],
RIChEx: A Robust Inter-Frame Change Exposure for Segmenting Moving Objects,
ICIP22(2172-2176)
IEEE DOI 2211
Training, Image segmentation, Motion segmentation, Object segmentation, Feature extraction, Video surveillance, GAN BibRef

Yu, Y.[Ye], Yuan, J.L.[Jia-Lin], Mittal, G.[Gaurav], Fuxin, L.[Li], Chen, M.[Mei],
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation,
ECCV22(XXIX:612-629).
Springer DOI 2211
BibRef

Liu, Y.[Yong], Yu, R.[Ran], Wang, J.H.[Jia-Hao], Zhao, X.Y.[Xin-Yuan], Wang, Y.T.[Yi-Tong], Tang, Y.S.[Yan-Song], Yang, Y.J.[Yu-Jiu],
Global Spectral Filter Memory Network for Video Object Segmentation,
ECCV22(XXIX:648-665).
Springer DOI 2211
BibRef

Cho, S.[Suhwan], Lee, H.[Heansung], Lee, M.[Minhyeok], Park, C.[Chaewon], Jang, S.J.[Sung-Jun], Kim, M.J.[Min-Jung], Lee, S.Y.[Sang-Youn],
Tackling Background Distraction in Video Object Segmentation,
ECCV22(XXII:446-462).
Springer DOI 2211
BibRef

Arrigoni, F.[Federica], Menapace, W.[Willi], Benkner, M.S.[Marcel Seelbach], Ricci, E.[Elisa], Golyanik, V.[Vladislav],
Quantum Motion Segmentation,
ECCV22(XXIX:506-523).
Springer DOI 2211
BibRef

Hu, H.Z.[Han-Zhe], Chen, Y.[Yinbo], Xu, J.R.[Jia-Rui], Borse, S.[Shubhankar], Cai, H.[Hong], Porikli, F.M.[Fatih M.], Wang, X.L.[Xiao-Long],
Learning Implicit Feature Alignment Function for Semantic Segmentation,
ECCV22(XXIX:487-505).
Springer DOI 2211
BibRef

Cheng, H.K.[Ho Kei], Schwing, A.G.[Alexander G.],
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model,
ECCV22(XXVIII:640-658).
Springer DOI 2211
BibRef

Li, X.T.[Xiang-Tai], Zhang, W.W.[Wen-Wei], Pang, J.M.[Jiang-Miao], Chen, K.[Kai], Cheng, G.L.[Guang-Liang], Tong, Y.H.[Yun-Hai], Loy, C.C.[Chen Change],
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation,
CVPR22(18825-18835)
IEEE DOI 2210
Image segmentation, Image analysis, Shape, Fuses, Machine vision, Semantics, Pipelines, Scene analysis and understanding, Vision applications and systems BibRef

Yang, J.R.[Jin-Rong], Liu, S.T.[Song-Tao], Li, Z.[Zeming], Li, X.P.[Xiao-Ping], Sun, J.[Jian],
Real-time Object Detection for Streaming Perception,
CVPR22(5375-5385)
IEEE DOI 2210
Measurement, Detectors, Streaming media, Search problems, Real-time systems, Navigation and autonomous driving BibRef

Botach, A.[Adam], Zheltonozhskii, E.[Evgenii], Baskin, C.[Chaim],
End-to-End Referring Video Object Segmentation with Multimodal Transformers,
CVPR22(4975-4985)
IEEE DOI 2210
Computational modeling, Pipelines, Object segmentation, Predictive models, Benchmark testing, Transformers, Video analysis and understanding BibRef

Wu, J.N.[Jian-Nan], Jiang, Y.[Yi], Sun, P.[Peize], Yuan, Z.H.[Ze-Huan], Luo, P.[Ping],
Language as Queries for Referring Video Object Segmentation,
CVPR22(4964-4974)
IEEE DOI 2210
Convolution, Pipelines, Object segmentation, Transformers, Information filters, Vision+language, Video analysis and understanding BibRef

Park, K.Y.[Kwan-Yong], Woo, S.[Sanghyun], Oh, S.W.[Seoung Wug], Kweon, I.S.[In So], Lee, J.Y.[Joon-Young],
Per-Clip Video Object Segmentation,
CVPR22(1342-1351)
IEEE DOI 2210
Training, Correlation, Tracking, Shape, Memory management, Object segmentation, grouping and shape analysis, Segmentation BibRef

Lin, Z.H.[Zhi-Hui], Yang, T.Y.[Tian-Yu], Li, M.M.[Mao-Mao], Wang, Z.Y.[Zi-Yu], Yuan, C.[Chun], Jiang, W.H.[Wen-Hao], Liu, W.[Wei],
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization,
CVPR22(1352-1362)
IEEE DOI 2210
Shape, Computational modeling, Redundancy, Object segmentation, Streaming media, Feature extraction, Segmentation, Video analysis and understanding BibRef

Li, M.X.[Ming-Xing], Hu, L.[Li], Xiong, Z.W.[Zhi-Wei], Zhang, B.[Bang], Pan, P.[Pan], Liu, D.[Dong],
Recurrent Dynamic Embedding for Video Object Segmentation,
CVPR22(1322-1331)
IEEE DOI 2210
Training, Codes, Shape, Memory management, Object segmentation, Maintenance engineering, grouping and shape analysis, Segmentation BibRef

Pan, W.W.[Wen-Wen], Shi, H.[Haonan], Zhao, Z.[Zhou], Zhu, J.[Jieming], He, X.[Xiuqiang], Pan, Z.[Zhigeng], Gao, L.[Lianli], Yu, J.[Jun], Wu, F.[Fei], Tian, Q.[Qi],
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks,
CVPR22(1310-1321)
IEEE DOI 2210
Visualization, Frequency-domain analysis, Semantics, Noise reduction, Video sequences, Object segmentation, Vision + X BibRef

Bao, Z.P.[Zhi-Peng], Tokmakov, P.[Pavel], Jabri, A.[Allan], Wang, Y.X.[Yu-Xiong], Gaidon, A.[Adrien], Hebert, M.[Martial],
Discovering Objects that Can Move,
CVPR22(11779-11788)
IEEE DOI 2210
Representation learning, Learning systems, Tracking, Shape, Motion segmentation, Dynamics, Segmentation, Self- semi- meta- Video analysis and understanding BibRef

Ulker, B.[Berk], Stuijk, S.[Sander], Corporaal, H.[Henk], Wijnhoven, R.[Rob],
Accelerating Video Object Detection by Exploiting Prior Object Locations,
CIAP22(II:657-668).
Springer DOI 2205
BibRef

Cui, Y.M.[Yi-Ming], Yan, L.Q.[Li-Qi], Cao, Z.W.[Zhi-Wen], Liu, D.F.[Dong-Fang],
TF-Blender: Temporal Feature Blender for Video Object Detection,
ICCV21(8118-8127)
IEEE DOI 2203
Image segmentation, Codes, Object detection, Benchmark testing, Feature extraction, Task analysis, BibRef

Chen, S.[Shoufa], Sun, P.[Peize], Xie, E.[Enze], Ge, C.J.[Chong-Jian], Wu, J.N.[Jian-Nan], Ma, L.[Lan], Shen, J.J.[Jia-Jun], Luo, P.[Ping],
Watch Only Once: An End-to-End Video Action Detection Framework,
ICCV21(8158-8167)
IEEE DOI 2203
Location awareness, Computational modeling, Pipelines, Detectors, Predictive models, Feature extraction, BibRef

Li, K.[Kejie], de Tone, D.[Daniel], Chen, S.[Steven], Vo, M.[Minh], Reid, I.D.[Ian D.], Rezatofighi, H.[Hamid], Sweeney, C.[Chris], Straub, J.[Julian], Newcombe, R.[Richard],
ODAM: Object Detection, Association, and Mapping using Posed RGB Video,
ICCV21(5978-5988)
IEEE DOI 2203
Point cloud compression, Location awareness, Geometry, Image color analysis, Volume measurement, Object detection, Stereo, Detection and localization in 2D and 3D BibRef

Yang, C.[Charig], Lamdouar, H.[Hala], Lu, E.[Erika], Zisserman, A.[Andrew], Xie, W.[Weidi],
Self-supervised Video Object Segmentation by Motion Grouping,
ICCV21(7157-7168)
IEEE DOI 2203
Annotations, Motion segmentation, Scalability, Object segmentation, Manuals, Benchmark testing, Segmentation, grouping and shape, Video analysis and understanding BibRef

Wang, W.Y.[Wei-Yao], Feiszli, M.[Matt], Wang, H.[Heng], Tran, D.[Du],
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation,
ICCV21(10756-10765)
IEEE DOI 2203
Training, Annotations, Motion segmentation, Computational modeling, Object segmentation, Object detection, Datasets and evaluation, Video analysis and understanding BibRef

Ji, G.P.[Ge-Peng], Fu, K.[Keren], Wu, Z.[Zhe], Fan, D.P.[Deng-Ping], Shen, J.B.[Jian-Bing], Shao, L.[Ling],
Full-Duplex Strategy for Video Object Segmentation,
ICCV21(4902-4913)
IEEE DOI 2203
Upper bound, Purification, Full-duplex system, Object segmentation, Object detection, Transformers, Robustness, Low-level and physics-based vision BibRef

Zhang, Y.Z.[Yi-Zhe], Borse, S.[Shubhankar], Cai, H.[Hong], Wang, Y.[Ying], Bi, N.[Ning], Jiang, X.Y.[Xiao-Yun], Porikli, F.M.[Fatih M.],
Perceptual Consistency in Video Segmentation,
WACV22(2623-2632)
IEEE DOI 2202
Training, Image segmentation, Measurement uncertainty, Semantics, Predictive models, Grouping and Shape Scene Understanding BibRef

Schmidt, C.[Christian], Athar, A.[Ali], Mahadevan, S.[Sabarinath], Leibe, B.[Bastian],
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos,
WACV22(1929-1938)
IEEE DOI 2202
Convolutional codes, Image segmentation, Object segmentation, Scene Understanding BibRef

Azulay, A.[Aharon], Halperin, T.[Tavi], Vantzos, O.[Orestis], Bornstein, N.[Nadav], Bibi, O.[Ofir],
Temporally stable video segmentation without video annotations,
WACV22(1919-1928)
IEEE DOI 2202
Training, Optical filters, Image segmentation, Adaptation models, Current measurement, Image annotation, Grouping and Shape Deep Learning BibRef

Cho, S.[Suhwan], Lee, H.[Heansung], Kim, M.[Minjung], Jang, S.J.[Sung-Jun], Lee, S.Y.[Sang-Youn],
Pixel-Level Bijective Matching for Video Object Segmentation,
WACV22(1453-1462)
IEEE DOI 2202
Codes, Object segmentation, Benchmark testing, Optimal matching, Vision for Robotics BibRef

Yang, F.[Fan], Karanam, S.[Srikrishna], Zheng, M.[Meng], Chen, T.[Terrence], Ling, H.B.[Hai-Bin], Wu, Z.Y.[Zi-Yan],
Multi-motion and Appearance Self-Supervised Moving Object Detection,
WACV22(2101-2110)
IEEE DOI 2202
Training, Image coding, Aggregates, Object detection, Cameras, Encoding, Semi- and Un- supervised Learning BibRef

Tschernezki, V.[Vadim], Larlus, D.[Diane], Vedaldi, A.[Andrea],
NeuralDiff: Segmenting 3D objects that move in egocentric videos,
3DV21(910-919)
IEEE DOI 2201
Motion segmentation, Dynamics, Video sequences, Neural networks, Object segmentation, Rendering (computer graphics) BibRef

Shih, C.H.[Chin-Hsuan], Tsai, W.J.[Wen-Jiin],
Hierarchical Embedding Guided Network for Video Object Segmentation,
ICIP21(1124-1128)
IEEE DOI 2201
Learning systems, Image segmentation, Annotations, Motion segmentation, Object segmentation, Feature extraction, hierarchical embedding BibRef

Athar, A.[Ali], Mahadevan, S.[Sabarinath], Ošep, A.[Aljoša], Leal-Taixé, L.[Laura], Leibe, B.[Bastian],
A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings,
OVIS21(3851-3855)
IEEE DOI 2112
Video sequences, Benchmark testing, Task analysis BibRef

Huang, Z.Y.[Zi-Yuan], Zhang, S.[Shiwei], Jiang, J.W.[Jian-Wen], Tang, M.Q.[Ming-Qian], Jin, R.[Rong], Ang, M.H.[Marcelo H.],
Self-supervised Motion Learning from Static Images,
CVPR21(1276-1285)
IEEE DOI 2111
Training, Codes, Annotations, Task analysis, Videos BibRef

Hu, L.[Li], Zhang, P.[Peng], Zhang, B.[Bang], Pan, P.[Pan], Xu, Y.H.[Ying-Hui], Jin, R.[Rong],
Learning Position and Target Consistency for Memory-based Video Object Segmentation,
CVPR21(4142-4152)
IEEE DOI 2111
Object segmentation, Benchmark testing, Reliability, Task analysis BibRef

Ost, J.[Julian], Mannan, F.[Fahim], Thuerey, N.[Nils], Knodt, J.[Julian], Heide, F.[Felix],
Neural Scene Graphs for Dynamic Scenes,
CVPR21(2855-2864)
IEEE DOI 2111
Training, Extrapolation, Image color analysis, Neural networks, Training data, Object detection BibRef

Zhou, T.F.[Tian-Fei], Li, J.W.[Jian-Wu], Li, X.Y.[Xue-Yi], Shao, L.[Ling],
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation,
CVPR21(6981-6990)
IEEE DOI 2111
Adaptation models, Target tracking, Estimation, Object segmentation, Feature extraction BibRef

Xie, H.Z.[Hao-Zhe], Yao, H.X.[Hong-Xun], Zhou, S.C.[Shang-Chen], Zhang, S.P.[Sheng-Ping], Sun, W.X.[Wen-Xiu],
Efficient Regional Memory Network for Video Object Segmentation,
CVPR21(1286-1295)
IEEE DOI 2111
Target tracking, Memory management, Object segmentation, Optical flow BibRef

Wang, H.C.[Hao-Chen], Jiang, X.L.[Xiao-Long], Ren, H.B.[Hai-Bing], Hu, Y.[Yao], Bai, S.[Song],
SwiftNet: Real-time Video Object Segmentation,
CVPR21(1296-1305)
IEEE DOI 2111
Codes, Redundancy, Memory management, Object segmentation, Streaming media, Real-time systems BibRef

Duke, B.[Brendan], Ahmed, A.[Abdalla], Wolf, C.[Christian], Aarabi, P.[Parham], Taylor, G.W.[Graham W.],
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation,
CVPR21(5908-5917)
IEEE DOI 2111
Codes, Runtime, Scalability, Computational modeling, Object segmentation, Transformers BibRef

Chen, H.X.[Hao-Xin], Wu, H.J.[Han-Jie], Zhao, N.X.[Nan-Xuan], Ren, S.[Sucheng], He, S.F.[Sheng-Feng],
Delving Deep into Many-to-many Attention for Few-shot Video Object Segmentation,
CVPR21(14035-14044)
IEEE DOI 2111
Image segmentation, Codes, Computational modeling, Object segmentation, Computational efficiency BibRef

Ren, S.[Sucheng], Liu, W.X.[Wen-Xi], Liu, Y.[Yongtuo], Chen, H.X.[Hao-Xin], Han, G.Q.[Guo-Qiang], He, S.F.[Sheng-Feng],
Reciprocal Transformations for Unsupervised Video Object Segmentation,
CVPR21(15430-15439)
IEEE DOI 2111
Optical filters, Transforms, Object segmentation, Coherence, Search problems BibRef

Ge, W.B.[Wen-Bin], Lu, X.[Xiankai], Shen, J.B.[Jian-Bing],
Video Object Segmentation Using Global and Instance Embedding Learning,
CVPR21(16831-16840)
IEEE DOI 2111
Annotations, Object segmentation, Task analysis BibRef

Korkmaz, C.[Cansu], Tekalp, A.M.[A. Murat], Dogan, Z.[Zafer], Erdem, E.[Erkut], Erdem, A.[Aykut],
Perception-Distortion Trade-Off in the SR Space Spanned by Flow Models,
ICIP22(2396-2400)
IEEE DOI 2211
Measurement, Visualization, Superresolution, Aerospace electronics, Task analysis, normalizing flows, super-resolution, perception-distortion trade-off BibRef

Lezki, H.[Hazal], Ozturk, I.A.[I. Ahu], Akpinar, M.A.[M. Akif], Yucel, M.K.[M. Kerim], Logoglu, K.B.[K. Berker], Erdem, A.[Aykut], Erdem, E.[Erkut],
Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones,
CVUAV18(II:100-116).
Springer DOI 1905
BibRef

Garg, S.[Shubhika], Goel, V.[Vidit],
Mask Selection and Propagation for Unsupervised Video Object Segmentation,
WACV21(1679-1689)
IEEE DOI 2106
Pipelines, Neural networks, Object segmentation, Task analysis BibRef

Xu, M.Z.[Mu-Zhou], Zhong, S.[Shan], Liu, C.P.[Chun-Ping], Gong, S.R.[Sheng-Rong], Wang, Z.H.[Zhao-Hui], Xia, Y.[Yu],
ACCLVOS: Atrous Convolution with Spatial-Temporal ConvLSTM for Video Object Segmentation,
ICPR21(2089-2096)
IEEE DOI 2105
Convolution, Target recognition, Video sequences, Spatial coherence, Coherence, Object segmentation, Streaming media, Convolution BibRef

Kim, J.[Jaekyum], Koh, J.[Junho], Lee, B.[Byeongwon], Yang, S.J.[Seung-Ji], Choi, J.W.[Jun Won],
Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation,
ICPR21(1604-1610)
IEEE DOI 2105
Correlation, Object detection, Detectors, Streaming media, Logic gates, Performance gain BibRef

Siarohin, A.[Aliaksandr], Roy, S.[Subhankar], Lathuilière, S.[Stéphane], Tulyakov, S.[Sergey], Ricci, E.[Elisa], Sebe, N.[Nicu],
Motion-supervised Co-Part Segmentation,
ICPR21(9650-9657)
IEEE DOI 2105
Training, Deep learning, Image segmentation, Motion segmentation, Video sequences, Supervised learning, Streaming media BibRef

Arrigoni, F.[Federica], Magri, L.[Luca], Pajdla, T.[Tomas],
Motion Segmentation with Pairwise Matches and Unknown Number of Motions,
ICPR21(2896-2903)
IEEE DOI 2105
Motion segmentation, Fitting, Benchmark testing, Trajectory, Synchronization BibRef

Kardoost, A.[Amirhossein], Müller, S.[Sabine], Weickert, J.[Joachim], Keuper, M.[Margret],
Object Segmentation Tracking from Generic Video Cues,
ICPR21(623-630)
IEEE DOI 2105
Training, Navigation, Annotations, Video sequences, Estimation, Object segmentation, Task analysis BibRef

Azimi, F.[Fatemeh], Bischke, B.[Benjamin], Palacio, S.[Sebastian], Raue, F.[Federico], Hees, J.[Jörn], Dengel, A.[Andreas],
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory,
ICPR21(5376-5383)
IEEE DOI 2105
Measurement, Visualization, Object segmentation, Memory modules, Task analysis BibRef

Zhen, M.M.[Ming-Min], Li, S.W.[Shi-Wei], Zhou, L.[Lei], Shang, J.X.[Jia-Xiang], Feng, H.A.[Hao-An], Fang, T.[Tian], Quan, L.[Long],
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation,
ECCV20(XXVII:445-462).
Springer DOI 2011
BibRef

Seo, S.[Seonguk], Lee, J.Y.[Joon-Young], Han, B.H.[Bo-Hyung],
Urvos: Unified Referring Video Object Segmentation Network with a Large-scale Benchmark,
ECCV20(XV:208-223).
Springer DOI 2011
BibRef

Li, Y., Chen, F., Yang, F., Li, Y., Jia, H., Xie, X.,
Fusion Target Attention Mask Generation Network For Video Segmentation,
ICIP20(2276-2280)
IEEE DOI 2011
Solid modeling, Object segmentation, Adaptation models, Training, Motion segmentation, Visualization, Convolution, loss function BibRef

Cho, S., Cho, M., Chung, T.y., Lee, H., Lee, S.,
CRVOS: Clue Refining Network For Video Object Segmentation,
ICIP20(2301-2305)
IEEE DOI 2011
Decoding, Object segmentation, Real-time systems, Streaming media, Deconvolution, Feature extraction, Convolution, Encoder-decoder architecture BibRef

Zhang, L.[Lu], Zhang, J.M.[Jian-Ming], Lin, Z.[Zhe], Mech, R.[Radomír], Lu, H.C.[Hu-Chuan], He, Y.[You],
Unsupervised Video Object Segmentation with Joint Hotspot Tracking,
ECCV20(XIV:490-506).
Springer DOI 2011
BibRef

Li, Y.[Yu], Shen, Z.[Zhuoran], Shan, Y.[Ying],
Fast Video Object Segmentation Using the Global Context Module,
ECCV20(X:735-750).
Springer DOI 2011
BibRef

Zhang, Y., Wu, Z., Peng, H., Lin, S.,
A Transductive Approach for Video Object Segmentation,
CVPR20(6947-6956)
IEEE DOI 2008
Object segmentation, Task analysis, Video sequences, Computational modeling, History, Estimation, Data models BibRef

Chen, X., Li, Z., Yuan, Y., Yu, G., Shen, J., Qi, D.,
State-Aware Tracker for Real-Time Video Object Segmentation,
CVPR20(9381-9390)
IEEE DOI 2008
Target tracking, Robustness, Task analysis, Pipelines, Object segmentation, State estimation, Video sequences BibRef

Luiten, J., Zulfikar, I.E., Leibe, B.,
UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking,
WACV20(1989-1998)
IEEE DOI 2006
Task analysis, Proposals, Object segmentation, Forestry, Motion segmentation, Visualization, Tracking BibRef

Xu, Z.J.[Zhu-Jun], Hrustic, E.[Emir], Vivet, D.[Damien],
Centernet Heatmap Propagation for Real-time Video Object Detection,
ECCV20(XXV:220-234).
Springer DOI 2011
BibRef

Qian, Y., Yu, L., Liu, W., Kang, G., Hauptmann, A.G.,
Adaptive Feature Aggregation for Video Object Detection,
WACVWS20(143-147)
IEEE DOI 2006
Feature extraction, Adaptation models, Object detection, Task analysis, Context modeling, Rats BibRef

Guo, C., Fan, B., Gu, J., Zhang, Q., Xiang, S., Prinet, V., Pan, C.,
Progressive Sparse Local Attention for Video Object Detection,
ICCV19(3908-3917)
IEEE DOI 2004
feature extraction, image representation, image sequences, object detection, video signal processing, Optical detectors BibRef

Mao, H., Yang, X., Dally, B.,
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell,
ICCV19(573-582)
IEEE DOI 2004
object detection, video signal processing, video object detector, video object detection methods, delay metric, average precision, Task analysis BibRef

Deng, J., Pan, Y., Yao, T., Zhou, W., Li, H., Mei, T.,
Relation Distillation Networks for Video Object Detection,
ICCV19(7022-7031)
IEEE DOI 2004
feature extraction, image classification, object detection, video signal processing, video object detection, Aggregates BibRef

Shvets, M., Liu, W., Berg, A.,
Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection,
ICCV19(9755-9763)
IEEE DOI 2004
object detection, pose estimation, video signal processing, long-range temporal dependencies, temporal relation module, Indexes BibRef

Zolfaghari Bengar, J., Gonzalez-Garcia, A., Villalonga, G., Raducanu, B., Habibi Aghdam, H., Mozerov, M.G.[Mikhail G.], Lopez, A.M., van de Weijer, J.,
Temporal Coherence for Active Learning in Videos,
CVRSUAD19(914-923)
IEEE DOI 2004
graph theory, learning (artificial intelligence), object detection, traffic engineering computing, video object detection BibRef

Zhang, X.[Xuan], Han, G.X.[Guang-Xing], He, W.D.[Wen-Duo],
Unsupervised Feature Propagation for Fast Video Object Detection Using Generative Adversarial Networks,
MMMod20(I:617-627).
Springer DOI 2003
BibRef

Zhang, C., Kim, J.,
Modeling Long- and Short-Term Temporal Context for Video Object Detection,
ICIP19(71-75)
IEEE DOI 1910
Video object detection, deep learning, optical flow, LSTM, context modeling BibRef

Yang, Z.[Zhao], Wang, Q.[Qiang], Bertinetto, L.[Luca], Bai, S.[Song], Hu, W.M.[Wei-Ming], Torr, P.H.S.[Philip H.S.],
Anchor Diffusion for Unsupervised Video Object Segmentation,
ICCV19(931-940)
IEEE DOI 2004
image segmentation, image sequences, learning (artificial intelligence), object detection, Task analysis BibRef

Yang, Z., Li, P., Feng, Q., Wei, Y., Yang, Y.,
Going Deeper Into Embedding Learning for Video Object Segmentation,
YouTube-VOS19(697-700)
IEEE DOI 2004
image motion analysis, image segmentation, learning (artificial intelligence), object detection, object recognition BibRef

Luiten, J., Voigtlaender, P., Leibe, B.,
Exploring the Combination of PReMVOS, BoLTVOS and UnOVOST for the 2019 YouTube-VOS Challenge,
YouTube-VOS19(705-708)
IEEE DOI 2004
image segmentation, object detection, object tracking, video signal processing, UnOVOST, segmentation BibRef

Griffin, B.A.[Brent A.], Corso, J.J.[Jason J.],
Learning Object Depth from Camera Motion and Video Object Segmentation,
ECCV20(VII:295-312).
Springer DOI 2011
BibRef
Earlier:
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames,
CVPR19(8906-8915).
IEEE DOI 2002
BibRef

Bhat, G.[Goutam], Järemo Lawin, F.[Felix], Danelljan, M.[Martin], Robinson, A.[Andreas], Felsberg, M.[Michael], Van Gool, L.J.[Luc J.], Timofte, R.[Radu],
Learning What to Learn for Video Object Segmentation,
ECCV20(II:777-794).
Springer DOI 2011
BibRef

Robinson, A., Järemo Lawin, F.[Felix], Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
Learning Fast and Robust Target Models for Video Object Segmentation,
CVPR20(7404-7413)
IEEE DOI 2008
Image segmentation, Robustness, Object segmentation, Adaptation models, Data models, Training, Target tracking BibRef

Chen, Y., Pont-Tuset, J., Montes, A., Van Gool, L.J.,
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning,
CVPR18(1189-1198)
IEEE DOI 1812
Object segmentation, Measurement, Task analysis, Adaptive optics, Feature extraction, Streaming media BibRef

Johnander, J.[Joakim], Danelljan, M.[Martin], Brissman, E.[Emil], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
A Generative Appearance Model for End-To-End Video Object Segmentation,
CVPR19(8945-8954).
IEEE DOI 2002
BibRef

Ventura, C.[Carles], Bellver, M.[Miriam], Girbau, A.[Andreu], Salvador, A.[Amaia], Marques, F.[Ferran], Giro-i-Nieto, X.[Xavier],
RVOS: End-To-End Recurrent Network for Video Object Segmentation,
CVPR19(5272-5281).
IEEE DOI 2002
BibRef

Xu, S.J.[Shuang-Jie], Liu, D.Z.[Dai-Zong], Bao, L.C.[Lin-Chao], Liu, W.[Wei], Zhou, P.[Pan],
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation,
CVPR19(314-323).
IEEE DOI 2002
BibRef

Khoreva, A.[Anna], Rohrbach, A.[Anna], Schiele, B.[Bernt],
Video Object Segmentation with Language Referring Expressions,
ACCV18(IV:123-141).
Springer DOI 1906
BibRef
And:
Video Object Segmentation with Referring Expressions,
VSeg18(IV:7-12).
Springer DOI 1905
BibRef

Han, J., Yang, L., Zhang, D., Chang, X., Liang, X.,
Reinforcement Cutting-Agent Learning for Video Object Segmentation,
CVPR18(9080-9089)
IEEE DOI 1812
Object segmentation, Task analysis, Search problems, Decision making, Tracking BibRef

Xiao, H., Feng, J., Lin, G., Liu, Y., Zhang, M.,
MoNet: Deep Motion Exploitation for Video Object Segmentation,
CVPR18(1140-1148)
IEEE DOI 1812
Motion segmentation, Feature extraction, Transforms, Optical imaging, Optical network units, Object segmentation, Optical propagation BibRef

Sokeh, H.S., Argyriou, V., Monekosso, D., Remagnino, P.,
Superframes, A Temporal Video Segmentation,
ICPR18(566-571)
IEEE DOI 1812
Clustering algorithms, Motion segmentation, Histograms, Databases, Image segmentation, Optical imaging, Video sequences BibRef

Zhu, X., Dai, J., Yuan, L., Wei, Y.,
Towards High Performance Video Object Detection,
CVPR18(7210-7218)
IEEE DOI 1812
Feature extraction, Object detection, Detectors, Computational efficiency, Logic gates, Motion estimation, Training BibRef

Xiao, F.[Fanyi], Lee, Y.J.[Yong Jae],
Video Object Detection with an Aligned Spatial-Temporal Memory,
ECCV18(VIII: 494-510).
Springer DOI 1810
BibRef

Wang, S.Y.[Shi-Yao], Zhou, Y.C.[Yu-Cong], Yan, J.J.[Jun-Jie], Deng, Z.D.[Zhi-Dong],
Fully Motion-Aware Network for Video Object Detection,
ECCV18(XIII: 557-573).
Springer DOI 1810
BibRef

Yuan, Y.[Yuan], Liang, X.D.[Xiao-Dan], Wang, X.L.[Xiao-Long], Yeung, D.Y.[Dit-Yan], Gupta, A.[Abhinav],
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection,
ICCV17(1819-1828)
IEEE DOI 1802
LSTM: Long Short-Term Memory. graph theory, image classification, learning (artificial intelligence), object detection, Visualization BibRef

Xu, J., Song, L., Xie, R.,
Two-stream deep encoder-decoder architecture for fully automatic video object segmentation,
VCIP17(1-4)
IEEE DOI 1804
image segmentation, image sequences, learning (artificial intelligence), video signal processing, motion segmentation BibRef

Bosch, M.[Marc], Li, G.Q.[Gui-Qin], Wang, K.[Kai],
A two-stage video object segmentation using motion and color information,
ICIP15(3916-3920)
IEEE DOI 1512
object segmentation, video segmentation, video summary BibRef

Wu, Z.Y.[Zheng-Yang], Li, F.[Fuxin], Sukthankar, R.[Rahul], Rehg, J.M.[James M.],
Robust video segment proposals with painless occlusion handling,
CVPR15(4194-4203)
IEEE DOI 1510
BibRef

Fragkiadaki, K.[Katerina], Arbelaez, P.[Pablo], Felsen, P.[Panna], Malik, J.[Jitendra],
Learning to segment moving objects in videos,
CVPR15(4083-4090)
IEEE DOI 1510
BibRef

Pu, S.T.[Song-Tao], Zha, H.B.[Hong-Bin],
Streaming video object segmentation with the adaptive coherence factor,
ICIP13(4235-4238)
IEEE DOI 1402
Video object segmentation BibRef

Meuel, H.[Holger], Reso, M.[Matthias], Jachalsky, J.[Jorn], Ostermann, J.[Jorn],
Superpixel-based segmentation of moving objects for low bitrate ROI coding systems,
AVSS13(395-400)
IEEE DOI 1311
Bandwidth BibRef

Zhang, D.[Dong], Javed, O.[Omar], Shah, M.[Mubarak],
Video Object Co-segmentation by Regulated Maximum Weight Cliques,
ECCV14(VII: 551-566).
Springer DOI 1408
BibRef
Earlier:
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions,
CVPR13(628-635)
IEEE DOI 1309
Object Segmentation, Video Segmentation BibRef

Xiang, X.[Xiang], Chang, H.[Hong], Luo, J.B.[Jie-Bo],
Online Web-Data-Driven Segmentation of Selected Moving Objects in Videos,
ACCV12(II:134-146).
Springer DOI 1304
BibRef

Ellis, L.[Liam], Zografos, V.[Vasileios],
Online Learning for Fast Segmentation of Moving Objects,
ACCV12(II:52-65).
Springer DOI 1304
BibRef

Di, X.F.[Xiao-Fei], Chang, H.[Hong], Chen, X.L.[Xi-Lin],
Multi-layer Spectral Clustering for Video Segmentation,
ACCV12(II:1-12).
Springer DOI 1304
BibRef

Xiong, H.[Hao], Wang, Z.Y.[Zhi-Yong], He, R.J.[Ren-Jie], Feng, D.D.,
Video Object Segmentation with Occlusion Map,
DICTA12(1-7).
IEEE DOI 1303
BibRef

Ma, T.Y.[Tian-Yang], Latecki, L.J.[Longin Jan],
Maximum weight cliques with mutex constraints for video object segmentation,
CVPR12(670-677).
IEEE DOI 1208
BibRef

Ye, Y.[Yun], Ci, S.[Song], Liu, Y.W.[Yan-Wei], Tang, H.[Hui],
Dynamic video object detection with single PTU camera,
VCIP11(1-4).
IEEE DOI 1201
BibRef

García, A.[Alvaro], Bescós, J.[Jesús],
Video Object Segmentation Based on Feedback Schemes Guided by a Low-Level Scene Ontology,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Mármol, S.B.L.[Salvador B. López], Artner, N.M.[Nicole M.], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.], Beleznai, C.[Csaba],
Video Object Segmentation Using Graphs,
CIARP08(733-740).
Springer DOI 0809
BibRef

Marchadier, J.[Jocelyn], Kropatsch, W.G.[Walter G.], Hanbury, A.[Allan],
The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence,
DAGM04(432-439).
Springer DOI 0505
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Semi-Supervised Video Object Segmentation .