19.3.4.7 Video Instance Segmentation

Chapter Contents (Back)
Motion Segmentation. Instance Segmentation.
See also Instance Segmentation.

Maninis, K.K., Caelles, S., Chen, Y., Pont-Tuset, J., Leal-Taixé, L., Cremers, D., Van Gool, L.J.[Luc J.],
Video Object Segmentation without Temporal Information,
PAMI(41), No. 6, June 2019, pp. 1515-1530.
IEEE DOI 1905
BibRef
Earlier: A2, A1, A4, A5, A6, A7, Only:
One-Shot Video Object Segmentation,
CVPR17(5320-5329)
IEEE DOI 1711
Semantic One-Shot Video Object Segmentation (OSVOSSS) Image segmentation, Semantics, Object segmentation, Task analysis, Motion segmentation, Training, instance segmentation. Computational modeling, Shape. BibRef

León Alcázar, J.[Juan], Bravo, M.A.[María A.], Jeanneret, G.[Guillaume], Thabet, A.K.[Ali K.], Brox, T.[Thomas], Arbeláez, P.[Pablo], Ghanem, B.[Bernard],
MAIN: Multi-Attention Instance Network for video segmentation,
CVIU(210), 2021, pp. 103240.
Elsevier DOI 2109
Video object segmentation, Attention mechanism, Deep learning BibRef

Deng, J.J.[Jia-Jun], Pan, Y.W.[Ying-Wei], Yao, T.[Ting], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang], Mei, T.[Tao],
MINet: Meta-Learning Instance Identifiers for Video Object Detection,
IP(30), 2021, pp. 6879-6891.
IEEE DOI 2108
Object detection, Feature extraction, Detectors, Proposals, Optical imaging, Robustness, History, Video object detection, box association BibRef

Yan, L.Q.[Li-Qi], Wang, Q.F.[Qi-Fan], Ma, S.Q.[Si-Qi], Wang, J.G.[Jin-Gang], Yu, C.B.[Chang-Bin],
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration,
CirSysVideo(33), No. 1, January 2023, pp. 393-406.
IEEE DOI 2301
Videos, Image segmentation, Training, Annotations, Collaboration, Optical flow, Task analysis, Video instance segmentation, multi-object tracking and segmentation BibRef

Brissman, E.[Emil], Johnander, J.[Joakim], Danelljan, M.[Martin], Felsberg, M.[Michael],
Recurrent Graph Neural Networks for Video Instance Segmentation,
IJCV(131), No. 2, February 2023, pp. 471-495.
Springer DOI 2301
BibRef

Thawakar, O.[Omkar], Narayan, S.[Sanath], Cao, J.[Jiale], Cholakkal, H.[Hisham], Anwer, R.M.[Rao Muhammad], Khan, M.H.[Muhammad Haris], Khan, S.[Salman], Felsberg, M.[Michael], Khan, F.S.[Fahad Shahbaz],
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer,
ECCV22(XXIX:666-681).
Springer DOI 2211
BibRef

Li, X.T.[Xiang-Tai], He, H.[Hao], Yang, Y.[Yibo], Ding, H.H.[Heng-Hui], Yang, K.[Kuiyuan], Cheng, G.L.[Guang-Liang], Tong, Y.H.[Yun-Hai], Tao, D.C.[Da-Cheng],
Improving Video Instance Segmentation via Temporal Pyramid Routing,
PAMI(45), No. 5, May 2023, pp. 6594-6601.
IEEE DOI 2304
Routing, Task analysis, Feature extraction, Computer architecture, Logic gates, Head, Microprocessors, Dynamic network, video scene understanding BibRef

Li, X.[Xiang], Wang, J.L.[Jing-Lu], Li, X.[Xiao], Lu, Y.[Yan],
Video Instance Segmentation by Instance Flow Assembly,
MultMed(25), 2023, pp. 7469-7479.
IEEE DOI 2311
BibRef


Kim, H.[Hojin], Lee, S.[Seunghun], Kang, H.[Hyeon], Im, S.H.[Sung-Hoon],
Offline-to-Online Knowledge Distillation for Video Instance Segmentation,
WACV24(158-167)
IEEE DOI 2404
Instance segmentation, Filters, Predictive models, Data augmentation, Robustness, Encoding, Algorithms, Image recognition and understanding BibRef

Ying, K.N.[Kai-Ning], Zhong, Q.[Qing], Mao, W.[Weian], Wang, Z.H.[Zhen-Hua], Chen, H.[Hao], Wu, L.Y.B.[Lin Yuan-Bo], Liu, Y.F.[Yi-Fan], Fan, C.X.[Cheng-Xiang], Zhuge, Y.Z.[Yun-Zhi], Shen, C.H.[Chun-Hua],
CTVIS: Consistent Training for Online Video Instance Segmentation,
ICCV23(899-908)
IEEE DOI 2401
BibRef

Li, J.L.[Jun-Long], Yu, B.[Bingyao], Rao, Y.M.[Yong-Ming], Zhou, J.[Jie], Lu, J.W.[Ji-Wen],
TCOVIS: Temporally Consistent Online Video Instance Segmentation,
ICCV23(1097-1107)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zhang, T.[Tao], Tian, X.Y.[Xing-Ye], Wu, Y.[Yu], Ji, S.P.[Shun-Ping], Wang, X.[Xuebo], Zhang, Y.[Yuan], Wan, P.F.[Peng-Fei],
DVIS: Decoupled Video Instance Segmentation Framework,
ICCV23(1282-1291)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wang, H.C.[Hao-Chen], Jiang, X.L.[Xiao-Long], Tang, X.[Xu], Hu, Y.[Yao], Yan, C.[Cilin], Xie, W.[Weidi], Wang, S.[Shuai], Gavves, E.[Efstratios],
Towards Open-Vocabulary Video Instance Segmentation,
ICCV23(4034-4043)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, Q.H.[Qi-Hao], Wu, J.F.[Jun-Feng], Jiang, Y.[Yi], Bai, X.[Xiang], Yuille, A.[Alan], Bai, S.[Song],
InstMove: Instance Motion for Object-centric Video Segmentation,
CVPR23(6344-6354)
IEEE DOI 2309
BibRef

Li, M.H.[Ming-Han], Li, S.[Shuai], Xiang, W.M.[Wang-Meng], Zhang, L.[Lei],
MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos,
CVPR23(10524-10533)
IEEE DOI 2309
BibRef

Heo, M.[Miran], Hwang, S.[Sukjun], Hyun, J.[Jeongseok], Kim, H.J.[Han-Jung], Oh, S.W.[Seoung Wug], Lee, J.Y.[Joon-Young], Kim, S.J.[Seon Joo],
A Generalized Framework for Video Instance Segmentation,
CVPR23(14623-14632)
IEEE DOI 2309
BibRef

Jiang, Z.K.[Zheng-Kai], Gu, Z.X.[Zhang-Xuan], Peng, J.L.[Jin-Long], Zhou, H.[Hang], Liu, L.[Liang], Wang, Y.[Yabiao], Tai, Y.[Ying], Wang, C.J.[Cheng-Jie], Zhang, L.Q.[Li-Qing],
Stc: Spatio-temporal Contrastive Learning for Video Instance Segmentation,
CVEU22(539-556).
Springer DOI 2304
BibRef

Kini, J.[Jyoti], Shah, M.[Mubarak],
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation,
ICPR22(3536-3542)
IEEE DOI 2212
Solid modeling, Semantic segmentation, Video sequences, Redundancy, Pipelines, Tagging BibRef

Dong, H.[Hao], Wang, G.D.[Guo-Dong],
DISF: Dynamic Instance Segmentation with Semantic Features,
ICPR22(3772-3778)
IEEE DOI 2212
Image segmentation, Convolution, Semantic segmentation, Semantics, Feature extraction, Kernel BibRef

Cui, Z.H.[Zhi-Hao], Zhang, Z.H.[Zhen-Hua],
KeypointMask: A Real-Time Instance Segmentation for Oblique Object Detection in Robotic Picking,
ICPR22(4175-4181)
IEEE DOI 2212
Point cloud compression, Image segmentation, Service robots, Image color analysis, industrial application BibRef

Wu, J.F.[Jun-Feng], Jiang, Y.[Yi], Bai, S.[Song], Zhang, W.Q.[Wen-Qing], Bai, X.[Xiang],
SeqFormer: Sequential Transformer for Video Instance Segmentation,
ECCV22(XXVIII:553-569).
Springer DOI 2211
BibRef

Wu, J.F.[Jun-Feng], Liu, Q.H.[Qi-Hao], Jiang, Y.[Yi], Bai, S.[Song], Yuille, A.L.[Alan L.], Bai, X.[Xiang],
In Defense of Online Models for Video Instance Segmentation,
ECCV22(XXVIII:588-605).
Springer DOI 2211
BibRef

Zhu, F.[Feng], Yang, Z.X.[Zong-Xin], Yu, X.[Xin], Yang, Y.[Yi], Wei, Y.C.[Yun-Chao],
Instance as Identity: A Generic Online Paradigm for Video Instance Segmentation,
ECCV22(XXIX:524-540).
Springer DOI 2211
BibRef

Wu, J.[Jialian], Yarram, S.[Sudhir], Liang, H.[Hui], Lan, T.[Tian], Yuan, J.S.[Jun-Song], Eledath, J.[Jayan], Medioni, G.[Gérard],
Efficient Video Instance Segmentation via Tracklet Query and Proposal,
CVPR22(949-958)
IEEE DOI 2210
Training, Tracking, Motion segmentation, Streaming media, Transformers, Real-time systems, Recognition: detection, Motion and tracking BibRef

Han, S.H.[Su Ho], Hwang, S.[Sukjun], Oh, S.W.[Seoung Wug], Park, Y.[Yeonchool], Kim, H.W.[Hyun-Woo], Kim, M.J.[Min-Jung], Kim, S.J.[Seon Joo],
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation,
CVPR22(2886-2895)
IEEE DOI 2210
Convolutional codes, Aggregates, Streaming media, Real-time systems, Pattern recognition, Task analysis, Motion and tracking BibRef

Ciamarra, A.[Andrea], Becattini, F.[Federico], Seidenari, L.[Lorenzo], del Bimbo, A.[Alberto],
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping,
CIAP22(III:349-361).
Springer DOI 2205
BibRef

Li, W.B.[Wen-Bo], Li, X.S.[Xue-Sheng], Xu, Q.W.[Qi-Wei], Li, C.[Chen],
From VIS To OVIS: A Technical Report to Promote the Development of the Field,
OVIS21(3856-3860)
IEEE DOI 2112
Occluded Video instance segmentation. Training, Deep learning, Computational modeling, Computer bugs, Writing BibRef

Lin, H., Qi, X., Jia, J.,
AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation,
ICCV19(3948-3956)
IEEE DOI 2004
computational complexity, image segmentation, video signal processing, object instances, instance IoU loss, Training BibRef

Lyu, Y., Vosselman, G., Xia, G., Yang, M.Y.,
LIP: Learning Instance Propagation for Video Object Segmentation,
MCMV19(2739-2748)
IEEE DOI 2004
convolutional neural nets, image segmentation, learning (artificial intelligence), object detection, memory module BibRef

Feng, Q., Yang, Z., Li, P., Wei, Y., Yang, Y.,
Dual Embedding Learning for Video Instance Segmentation,
YouTube-VOS19(717-720)
IEEE DOI 2004
embedded systems, image segmentation, learning (artificial intelligence), neural nets, instance embedding learning BibRef

Dong, M., Wang, J., Huang, Y., Yu, D., Su, K., Zhou, K., Shao, J., Wen, S., Wang, C.,
Temporal Feature Augmented Network for Video Instance Segmentation,
YouTube-VOS19(721-724)
IEEE DOI 2004
convolutional neural nets, feature extraction, image motion analysis, image segmentation, object detection, Deep Learning BibRef

Liu, X.Y.[Xiao-Yu], Ren, H.B.[Hai-Bing], Ye, T.M.[Ting-Meng],
Spatio-Temporal Attention Network for Video Instance Segmentation,
YouTube-VOS19(725-727)
IEEE DOI 2004
convolutional neural nets, image segmentation, object detection, video signal processing, Youtube VIS test dataset, spatio temporal BibRef

Luiten, J.[Jonathon], Torr, P.H.S.[Philip H.S.], Leibe, B.[Bastian],
Video Instance Segmentation 2019: A Winning Approach for Combined Detection, Segmentation, Classification and Tracking.,
YouTube-VOS19(709-712)
IEEE DOI 2004
image classification, image segmentation, learning (artificial intelligence), neural nets, object tracking, Classification BibRef

Wang, Q.[Qiang], He, Y.[Yi], Yang, X.Y.[Xiao-Yun], Yang, Z.[Zhao], Torr, P.H.S.[Philip H.S.],
An Empirical Study of Detection-Based Video Instance Segmentation,
YouTube-VOS19(713-716)
IEEE DOI 2004
image segmentation, object detection, object tracking, video signal processing, siamese tracker BibRef

Hu, Y.T.[Yuan-Ting], Chen, H.S.[Hong-Shuo], Hui, K.[Kexin], Huang, J.B.[Jia-Bin], Schwing, A.G.[Alexander G.],
SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation: A Synthetic Dataset and Baselines,
CVPR19(3100-3110).
IEEE DOI 2002
BibRef

Bansal, V.[Vaibhav], James, S.[Stuart], del Bue, A.[Alessio],
re-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-identification,
CIAP19(II:402-413).
Springer DOI 1909
BibRef

Le, T., Sugimoto, A.,
Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation,
WACV19(1779-1788)
IEEE DOI 1904
image segmentation, image sequences, mobile robots, object detection, robot vision, video signal processing, Dogs BibRef

Li, S., Seybold, B., Vorobyov, A., Fathi, A., Huang, Q., Kuo, C.C.J.,
Instance Embedding Transfer to Unsupervised Video Object Segmentation,
CVPR18(6526-6535)
IEEE DOI 1812
Image segmentation, Object segmentation, Motion segmentation, Optical imaging, Semantics, Task analysis, Neural networks BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Spatio-Temporal Motion Segmentation, Flow Based Segmentation .


Last update:May 29, 2024 at 17:34:46