Jiang, J.,
Song, X.,
An Optimized Higher Order CRF for Automated Labeling and Segmentation
of Video Objects,
CirSysVideo(26), No. 3, March 2016, pp. 506-516.
IEEE DOI
1603
Color
BibRef
Czúni, L.[László],
Rashad, M.[Metwally],
The use of IMUs for video object retrieval in lightweight devices,
JVCIR(48), No. 1, 2017, pp. 30-42.
Elsevier DOI
1708
BibRef
Earlier:
View centered video-based object recognition for lightweight devices,
WSSIP16(1-4)
IEEE DOI
1608
Video object retrieval.
image recognition
BibRef
Wang, Y.H.[Yu-Hang],
Liu, J.[Jing],
Li, Y.[Yong],
Fu, J.[Jun],
Xu, M.[Min],
Lu, H.Q.[Han-Qing],
Hierarchically Supervised Deconvolutional Network for Semantic Video
Segmentation,
PR(64), No. 1, 2017, pp. 437-445.
Elsevier DOI
1701
Semantic video segmentation
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Zhang, Y.[Yu],
Chen, X.W.[Xiao-Wu],
Li, J.[Jia],
Wang, C.[Chen],
Xia, C.Q.[Chang-Qun],
Li, J.[Jun],
Semantic Object Segmentation in Tagged Videos via Detection,
PAMI(40), No. 7, July 2018, pp. 1741-1754.
IEEE DOI
1806
Image segmentation, Motion segmentation, Object segmentation,
Proposals, Semantics, Spatiotemporal phenomena, Videos,
weakly supervised segmentation
BibRef
Zhang, Y.[Yu],
Chen, X.W.[Xiao-Wu],
Li, J.[Jia],
Teng, W.[Wei],
Song, H.[Haokun],
Exploring Weakly Labeled Images for Video Object Segmentation With
Submodular Proposal Selection,
IP(27), No. 9, September 2018, pp. 4245-4259.
IEEE DOI
1807
data mining, image matching, image segmentation,
learning (artificial intelligence), video signal processing,
weakly labeled video
BibRef
Zhang, Y.[Yu],
Chen, X.W.[Xiao-Wu],
Li, J.[Jia],
Wang, C.[Chen],
Xia, C.Q.[Chang-Qun],
Semantic object segmentation via detection in weakly labeled video,
CVPR15(3641-3649)
IEEE DOI
1510
BibRef
Zhang, Y.H.[Yin-Hui],
He, Z.F.[Zi-Fen],
Agnostic attribute segmentation of dynamic scenes with limited
spatio-temporal resolution,
PR(91), 2019, pp. 261-271.
Elsevier DOI
1904
Video object segmentation, Conditional random field,
Class-agnostic, Semantic space, Spatio-temporal resolution
BibRef
Chen, Y.,
Hao, C.,
Liu, A.X.,
Wu, E.,
Multilevel Model for Video Object Segmentation Based on Supervision
Optimization,
MultMed(21), No. 8, August 2019, pp. 1934-1945.
IEEE DOI
1908
image motion analysis, image resolution, image segmentation,
optimisation, video signal processing, appearance, motion clues,
semantic classification
BibRef
Chen, X.[Xin],
Wu, A.[Aming],
Han, Y.[Yahong],
Capturing the spatio-temporal continuity for video semantic
segmentation,
IET-IPR(13), No. 14, 12 December 2019, pp. 2813-2820.
DOI Link
1912
BibRef
Wu, J.[Junrong],
Wen, Z.Z.[Zong-Zheng],
Zhao, S.[Sanyuan],
Huang, K.[Kele],
Video semantic segmentation via feature propagation with holistic
attention,
PR(104), 2020, pp. 107268.
Elsevier DOI
2005
Real-time, Attention mechanism, Feature propagation, Video semantic segmentation
BibRef
Sharma, V.[Vipul],
Mir, R.N.[Roohie Naaz],
SSFNET-VOS: Semantic segmentation and fusion network for video object
segmentation,
PRL(140), 2020, pp. 49-58.
Elsevier DOI
2012
Multimedia processing, Video object segmentation,
Unsupervised learning, Semantic segmentation
BibRef
Zhang, G.,
Wong, H.C.,
Lo, S.L.,
Multi-Attention Network for Unsupervised Video Object Segmentation,
SPLetters(28), 2021, pp. 71-75.
IEEE DOI
2101
Logic gates, Object segmentation, Training, Task analysis, Semantics,
Decoding, Visualization, Attention, deep networks,
unsupervised video object segmentation
BibRef
Zhuang, J.F.[Jia-Fan],
Wang, Z.L.[Zi-Lei],
Wang, B.K.[Bing-Ke],
Video Semantic Segmentation With Distortion-Aware Feature Correction,
CirSysVideo(31), No. 8, August 2021, pp. 3128-3139.
IEEE DOI
2108
Optical distortion, Image segmentation, Semantics, Optical imaging,
Distortion, Optical propagation, Feature extraction,
feature correction
BibRef
Yuan, Y.C.[Yi-Chen],
Wang, L.J.[Li-Jun],
Wang, Y.F.[Yi-Fan],
CSANet for Video Semantic Segmentation With Inter-Frame Mutual
Learning,
SPLetters(28), 2021, pp. 1675-1679.
IEEE DOI
2109
Semantics, Feature extraction, Training, Optical sensors,
Image segmentation, Convolution, Context modeling,
mutual learning
BibRef
Zhang, J.[Jia],
Li, W.[Wei],
Li, Z.X.[Zhi-Xin],
Distinguishing foreground and background alignment for unsupervised
domain adaptative semantic segmentation,
IVC(124), 2022, pp. 104513.
Elsevier DOI
2208
Semantic segmentation, Self-supervised learning, pseudo labels,
Attention mechanism, Focal loss
BibRef
Wu, W.[Wei],
Chu, T.[Tao],
Liu, Q.[Qiong],
Complementarity-aware cross-modal feature fusion network for RGB-T
semantic segmentation,
PR(131), 2022, pp. 108881.
Elsevier DOI
2208
RGB-T, Cross-modal fusion, Multi-supervision, Semantic segmentation
BibRef
Li, R.[Ruoqi],
Wang, Y.F.[Yi-Fan],
Wang, L.J.[Li-Jun],
Lu, H.C.[Hu-Chuan],
Wei, X.P.[Xiao-Peng],
Zhang, Q.[Qiang],
From Pixels to Semantics: Self-Supervised Video Object Segmentation
With Multiperspective Feature Mining,
IP(31), 2022, pp. 5801-5812.
IEEE DOI
2209
Semantics, Training, Feature extraction, Image reconstruction,
Task analysis, Object segmentation, Image segmentation,
feature mining
BibRef
Ye, P.[Peng],
Li, B.P.[Bao-Pu],
Chen, T.[Tao],
Fan, J.Y.[Jia-Yuan],
Mei, Z.[Zhen],
Lin, C.[Chen],
Zuo, C.Y.[Chong-Yan],
Chi, Q.H.[Qing-Hua],
Ouyang, W.L.[Wan-Li],
Efficient Joint-Dimensional Search with Solution Space Regularization
for Real-Time Semantic Segmentation,
IJCV(130), No. 11, November 2022, pp. 2674-2694.
Springer DOI
2210
BibRef
Delibasoglu, I.[Ibrahim],
Kosesoy, I.[Irfan],
Kotan, M.[Muhammed],
Selamet, F.[Feyza],
Motion detection in moving camera videos using background modeling
and FlowNet,
JVCIR(88), 2022, pp. 103616.
Elsevier DOI
2210
Motion detection, Moving object detection, Dense optical flow, Moving camera
BibRef
Zhang, Y.Z.[Yun-Zuo],
Guo, K.[Kaina],
Tao, R.[Ran],
Adaptive Spatio-Temporal Tube for Fast Motion Segments Extraction of
Videos,
SPLetters(29), 2022, pp. 2308-2312.
IEEE DOI
2212
Videos, Motion segmentation, Electron tubes,
Computational complexity, Image segmentation, Data mining,
sampling-line adjustment factor
BibRef
Li, G.Y.[Gong-Yang],
Wang, Y.[Yike],
Liu, Z.[Zhi],
Zhang, X.P.[Xin-Peng],
Zeng, D.[Dan],
RGB-T Semantic Segmentation With Location, Activation, and Sharpening,
CirSysVideo(33), No. 3, March 2023, pp. 1223-1235.
IEEE DOI
2303
Semantics, Feature extraction, Image segmentation, Decoding,
Lighting, Optical fibers, Collaboration, edge sharpening
BibRef
Xiong, J.J.[Jing-Jing],
Po, L.M.[Lai-Man],
Yu, W.Y.[Wing-Yin],
Zhao, Y.Z.[Yu-Zhi],
Cheung, K.W.[Kwok-Wai],
Distortion Map-Guided Feature Rectification for Efficient Video
Semantic Segmentation,
MultMed(25), 2023, pp. 1019-1032.
IEEE DOI
2303
Optical distortion, Semantics, Distortion, Feature extraction,
Image analysis, Image segmentation, Optical imaging, optical flow
BibRef
Zhou, T.F.[Tian-Fei],
Porikli, F.M.[Fatih M.],
Crandall, D.J.[David J.],
Van Gool, L.J.[Luc J.],
Wang, W.G.[Wen-Guan],
A Survey on Deep Learning Technique for Video Segmentation,
PAMI(45), No. 6, June 2023, pp. 7099-7122.
IEEE DOI
2305
Object segmentation, Automobiles, Semantic segmentation,
Task analysis, Motion segmentation, Deep learning, Roads, deep learning
BibRef
Liang, Z.Y.[Zhi-Yuan],
Dai, X.D.[Xiang-Dong],
Wu, Y.Q.[Yi-Qian],
Jin, X.G.[Xiao-Gang],
Shen, J.B.[Jian-Bing],
Multi-Granularity Context Network for Efficient Video Semantic
Segmentation,
IP(32), 2023, pp. 3163-3175.
IEEE DOI
2306
Semantics, Semantic segmentation, Prototypes, Aggregates,
Feature extraction, Training, Task analysis, non-local operation
BibRef
Zhao, S.[Shenlu],
Zhang, Q.[Qiang],
A Feature Divide-and-Conquer Network for RGB-T Semantic Segmentation,
CirSysVideo(33), No. 6, June 2023, pp. 2892-2905.
IEEE DOI
2306
Feature extraction, Semantic segmentation, Data mining, Semantics,
Lighting, Decoding, Thermal sensors, RGB-T semantic segmentation,
multi-scale contextual information
BibRef
Mi, A.[Aizhong],
Gao, M.M.[Ming-Ming],
Huo, Z.Q.[Zhan-Qiang],
Qiao, Y.X.[Ying-Xu],
Chen, J.[Jian],
Jia, H.Y.[Hai-Yang],
Semantics recalibration and detail enhancement network for real-time
semantic segmentation,
IET-CV(17), No. 4, 2023, pp. 461-472.
DOI Link
2306
computer vision, image processing, image segmentation,
neural net architecture, neural nets
BibRef
Sun, M.J.[Ming-Jie],
Xiao, J.[Jimin],
Lim, E.G.[Eng Gee],
Zhao, Y.[Yao],
Starting Point Selection and Multiple-Standard Matching for Video
Object Segmentation With Language Annotation,
MultMed(25), 2023, pp. 3354-3363.
IEEE DOI
2309
BibRef
Li, D.[Dianze],
Tian, Y.H.[Yong-Hong],
Li, J.N.[Jia-Ning],
SODFormer: Streaming Object Detection With Transformer Using Events
and Frames,
PAMI(45), No. 11, November 2023, pp. 14020-14037.
IEEE DOI
2310
WWW Link. Fast motion blur and low-light issues.
BibRef
Peng, F.G.[Feng-Guang],
Ding, Z.[Zihan],
Chen, Z.M.[Zi-Ming],
Wang, G.[Gang],
Hui, T.R.[Tian-Rui],
Liu, S.[Si],
Shi, H.[Hang],
Region-adaptive and context-complementary cross modulation for RGB-T
semantic segmentation,
PR(147), 2024, pp. 110092.
Elsevier DOI
2312
RGB-Thermal, Semantic segmentation,
Region-Adaptive Channel Modulation, Context-Complementary Spatial Modulation
BibRef
Zhou, W.[Wujie],
Zhang, H.[Han],
Yan, W.Q.[Wei-Qing],
Lin, W.S.[Wei-Si],
MMSMCNet: Modal Memory Sharing and Morphological Complementary
Networks for RGB-T Urban Scene Semantic Segmentation,
CirSysVideo(33), No. 12, December 2023, pp. 7096-7108.
IEEE DOI Code:
WWW Link.
2312
BibRef
Liang, Z.X.[Zhi-Xue],
Dong, W.Y.[Wen-Yong],
Zhang, B.[Bo],
TRACL: Temporal reconstruction and adaptive consistency loss for
semi-supervised video semantic segmentation,
IET-IPR(18), No. 2, 2024, pp. 348-361.
DOI Link
2402
adaptive consistency loss, temporal reconstruction, video semantic segmentation
BibRef
Li, X.T.[Xiang-Tai],
Zhang, J.N.[Jiang-Ning],
Yang, Y.[Yibo],
Cheng, G.L.[Guang-Liang],
Yang, K.Y.[Kui-Yuan],
Tong, Y.H.[Yun-Hai],
Tao, D.C.[Da-Cheng],
Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow,
IJCV(132), No. 2, February 2024, pp. 466-489.
Springer DOI
2402
BibRef
An, S.[Shumin],
Liao, Q.M.[Qing-Min],
Lu, Z.Q.[Zong-Qing],
Xue, J.H.[Jing-Hao],
Dual Correlation Network for Efficient Video Semantic Segmentation,
CirSysVideo(34), No. 3, March 2024, pp. 1572-1585.
IEEE DOI Code:
WWW Link.
2403
Semantic segmentation, Semantics, Correlation, Feature extraction,
Redundancy, Schedules, Predictive models, key frame selection
BibRef
Monnier, Q.[Quentin],
Pouli, T.[Tania],
Kpalma, K.[Kidiyo],
Survey on fast dense video segmentation techniques,
CVIU(241), 2024, pp. 103959.
Elsevier DOI
2403
Survey, Video Segmentation. Video semantic segmentation, Matting, Deep learning
BibRef
Lv, Y.[Ying],
Liu, Z.[Zhi],
Li, G.Y.[Gong-Yang],
Context-Aware Interaction Network for RGB-T Semantic Segmentation,
MultMed(26), 2024, pp. 6348-6360.
IEEE DOI
2404
Semantic segmentation, Feature extraction, Semantics,
Task analysis, Transformers, Context modeling, Solid modeling,
RGB-T semantic segmentation
BibRef
Xie, B.C.[Bo-Chen],
Deng, Y.J.[Yong-Jian],
Shao, Z.P.[Zhan-Peng],
Li, Y.F.[You-Fu],
EISNet: A Multi-Modal Fusion Network for Semantic Segmentation With
Events and Images,
MultMed(26), 2024, pp. 8639-8650.
IEEE DOI
2408
Semantic segmentation, Cameras, Standards, Visualization,
Task analysis, Semantics, Noise measurement, Event camera
BibRef
Sun, G.[Guolei],
Liu, Y.[Yun],
Ding, H.H.[Heng-Hui],
Wu, M.[Min],
Van Gool, L.J.[Luc J.],
Learning Local and Global Temporal Contexts for Video Semantic
Segmentation,
PAMI(46), No. 10, October 2024, pp. 6919-6934.
IEEE DOI
2409
Semantic segmentation, Feature extraction, Context modeling,
Prototypes, Semantics, Computational modeling, Transformers,
video semantic segmentation
BibRef
Chen, X.C.[Xue-Chao],
Xu, S.J.[Shuang-Jie],
Zou, X.Y.[Xiao-Yi],
Cao, T.Y.[Tong-Yi],
Yeung, D.Y.[Dit-Yan],
Fang, L.[Lu],
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal
LiDAR Semantic Segmentation,
ICCV23(8535-8544)
IEEE DOI
2401
BibRef
Aakanksha,
Rajagopalan, A.N.,
Improving Robustness of Semantic Segmentation to Motion-Blur Using
Class-Centric Augmentation,
CVPR23(10470-10479)
IEEE DOI
2309
BibRef
Su, J.M.[Jin-Ming],
Yin, R.[Ruihong],
Zhang, S.[Shuaibin],
Luo, J.F.[Jun-Feng],
Motion-state Alignment for Video Semantic Segmentation,
PVUW23(3571-3580)
IEEE DOI
2309
BibRef
Ji, W.[Wei],
Li, J.J.[Jing-Jing],
Bian, C.[Cheng],
Zhou, Z.W.[Zong-Wei],
Zhao, J.Y.[Jia-Ying],
Yuille, A.L.[Alan L.],
Cheng, L.[Li],
Multispectral Video Semantic Segmentation: A Benchmark Dataset and
Baseline,
CVPR23(1094-1104)
IEEE DOI
2309
BibRef
Cho, K.[Kyusik],
Lee, S.[Suhyeon],
Seong, H.[Hongje],
Kim, E.T.[Eun-Tai],
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving
Object Mixing,
WACV23(489-498)
IEEE DOI
2302
Training, Adaptation models, Filtering, Semantic segmentation,
Benchmark testing, visual reasoning
BibRef
Sun, G.[Guolei],
Liu, Y.[Yun],
Tang, H.[Hao],
Chhatkuli, A.[Ajad],
Zhang, L.[Le],
Van Gool, L.J.[Luc J.],
Mining Relations Among Cross-Frame Affinities for Video Semantic
Segmentation,
ECCV22(XXXIV:522-539).
Springer DOI
2211
BibRef
Wu, X.Y.[Xin-Yi],
Wu, Z.Y.[Zhen-Yao],
Wan, J.[Jin],
Ju, L.[Lili],
Wang, S.[Song],
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive
Video Semantic Segmentation?,
ECCV22(XXVII:357-373).
Springer DOI
2211
BibRef
Zhao, W.[Wangbo],
Wang, K.[Kai],
Chu, X.X.[Xiang-Xiang],
Xue, F.Z.[Fu-Zhao],
Wang, X.C.[Xin-Chao],
You, Y.[Yang],
Modeling Motion with Multi-Modal Features for Text-Based Video
Segmentation,
CVPR22(11727-11736)
IEEE DOI
2210
Optical losses, Fuses, Motion segmentation, Design methodology,
Semantics, Linguistics, Segmentation, grouping and shape analysis,
Vision+language
BibRef
Wei, D.L.[Dong-Lai],
Kharbanda, S.[Siddhant],
Arora, S.[Sarthak],
Roy, R.[Roshan],
Jain, N.[Nishant],
Palrecha, A.[Akash],
Shah, T.[Tanav],
Mathur, S.[Shray],
Mathur, R.[Ritik],
Kemkar, A.[Abhijay],
Chakravarthy, A.[Anirudh],
Lin, Z.[Zudi],
Jang, W.D.[Won-Dong],
Tang, Y.S.[Yan-Song],
Bai, S.[Song],
Tompkin, J.[James],
Torr, P.H.S.[Philip H.S.],
Pfister, H.[Hanspeter],
YouMVOS: An Actor-centric Multi-shot Video Object Segmentation
Dataset,
CVPR22(21012-21021)
IEEE DOI
2210
Video on demand, Tracking, Shape, Error analysis, Memory management,
Memory architecture, Datasets and evaluation, Segmentation,
grouping and shape analysis
BibRef
Zhang, C.B.[Chang-Bin],
Xiao, J.W.[Jia-Wen],
Liu, X.[Xialei],
Chen, Y.C.[Ying-Cong],
Cheng, M.M.[Ming-Ming],
Representation Compensation Networks for Continual Semantic
Segmentation,
CVPR22(7043-7054)
IEEE DOI
2210
Representation learning, Deep learning, Codes,
Computational modeling, Semantics, Neural networks,
grouping and shape analysis
BibRef
Sun, G.[Guolei],
Liu, Y.[Yun],
Ding, H.H.[Heng-Hui],
Probst, T.[Thomas],
Van Gool, L.J.[Luc J.],
Coarse-to-Fine Feature Mining for Video Semantic Segmentation,
CVPR22(3116-3127)
IEEE DOI
2210
Image segmentation, Shape, Motion segmentation, Semantics,
Benchmark testing, Data mining, Video analysis and understanding,
grouping and shape analysis
BibRef
Zhuang, J.[Jiafan],
Wang, Z.[Zilei],
Gao, Y.[Yuan],
Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature
Reconstruction,
CVPR22(3253-3261)
IEEE DOI
2210
Training, Image segmentation, Codes, Semantics, Supervised learning,
Data models, Video analysis and understanding, Segmentation,
grouping and shape analysis
BibRef
Park, H.[Hyojin],
Yessenbayev, A.[Alan],
Singhal, T.[Tushar],
Adhikari, N.K.[Navin Kumar],
Zhang, Y.Z.[Yi-Zhe],
Borse, S.M.[Shubhankar Mangesh],
Cai, H.[Hong],
Mayer, F.[Frank],
Calidas, B.[Balaji],
Pandey, N.P.[Nilesh Prasad],
Yin, F.[Fei],
Porikli, F.M.[Fatih M.],
Real-Time, Accurate, and Consistent Video Semantic Segmentation via
Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device,
CVPR22(21399-21406)
IEEE DOI
2210
Performance evaluation, Image segmentation,
Technological innovation, Adaptation models, Semantics, Streaming media
BibRef
Mao, Y.Y.[Yun-Yao],
Wang, N.[Ning],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Joint Inductive and Transductive Learning for Video Object
Segmentation,
ICCV21(9650-9659)
IEEE DOI
2203
Video sequences, Training data, Object segmentation,
Benchmark testing, Transformers,
BibRef
Liang, S.X.[Shu-Xian],
Shen, X.[Xu],
Huang, J.Q.[Jian-Qiang],
Hua, X.S.[Xian-Sheng],
Video Object Segmentation with Dynamic Memory Networks and Adaptive
Object Alignment,
ICCV21(8045-8054)
IEEE DOI
2203
Visualization, Adaptation models, Adaptive systems, Codes,
Annotations, Dynamics, Video analysis and understanding,
grouping and shape
BibRef
Wang, H.[Hao],
Wang, W.[Weining],
Liu, J.[Jing],
Temporal Memory Attention for Video Semantic Segmentation,
ICIP21(2254-2258)
IEEE DOI
2201
Image segmentation, Computational modeling, Semantics,
Video sequences, Computational efficiency, self-attention
BibRef
Kuhn, C.B.[Christopher B.],
Hofbauer, M.[Markus],
Xu, Z.Q.[Zi-Qin],
Petrovic, G.[Goran],
Steinbach, E.[Eckehard],
Pixel-Wise Failure Prediction for Semantic Video Segmentation,
ICIP21(614-618)
IEEE DOI
2201
Training, Image segmentation, Semantics, Noise reduction,
Video sequences, Refining, Predictive models,
Recurrent Neural Network
BibRef
Jeon, S.[Sangryul],
Min, D.B.[Dong-Bo],
Kim, S.[Seungryong],
Sohn, K.H.[Kwang-Hoon],
Mining Better Samples for Contrastive Learning of Temporal
Correspondence,
CVPR21(1034-1044)
IEEE DOI
2111
Training, Uncertainty, Annotations, Pipelines,
Measurement uncertainty, Pattern recognition
BibRef
Nirkin, Y.[Yuval],
Wolf, L.B.[Lior B.],
Hassner, T.[Tal],
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation,
CVPR21(4060-4069)
IEEE DOI
2111
Image segmentation, Head, Runtime, Semantics, Memory management,
Benchmark testing, Real-time systems
BibRef
Zheng, S.X.[Si-Xiao],
Lu, J.C.[Jia-Chen],
Zhao, H.S.[Heng-Shuang],
Zhu, X.T.[Xia-Tian],
Luo, Z.[Zekun],
Wang, Y.B.[Ya-Biao],
Fu, Y.W.[Yan-Wei],
Feng, J.F.[Jian-Feng],
Xiang, T.[Tao],
Torr, P.H.S.[Philip H.S.],
Zhang, L.[Li],
Rethinking Semantic Segmentation from a Sequence-to-Sequence
Perspective with Transformers,
CVPR21(6877-6886)
IEEE DOI
2111
Image segmentation, Visualization, Semantics, Transformers, Decoding,
Pattern recognition, Servers
BibRef
Fan, M.Y.[Ming-Yuan],
Lai, S.[Shenqi],
Huang, J.[Junshi],
Wei, X.M.[Xiao-Ming],
Chai, Z.H.[Zhen-Hua],
Luo, J.F.[Jun-Feng],
Wei, X.L.[Xiao-Lin],
Rethinking BiSeNet For Real-time Semantic Segmentation,
CVPR21(9711-9720)
IEEE DOI
2111
Image segmentation, Visualization, Semantics, Redundancy,
Object detection, Feature extraction, Real-time systems
BibRef
Varghese, S.[Serin],
Gujamagadi, S.[Sharat],
Klingner, M.[Marvin],
Kapoor, N.[Nikhil],
Bär, A.[Andreas],
Schneider, J.D.[Jan David],
Maag, K.[Kira],
Schlicht, P.[Peter],
Hüger, F.[Fabian],
Fingscheidt, T.[Tim],
An Unsupervised Temporal Consistency (TC) Loss to Improve the
Performance of Semantic Segmentation Networks,
SAIAD21(12-20)
IEEE DOI
2109
Training, Deep learning, Measurement, Image segmentation, Semantics,
Video sequences, Neural networks
BibRef
Lu, H.C.[Hong-Chao],
Deng, Z.D.[Zhi-Dong],
A Boundary-aware Distillation Network for Compressed Video Semantic
Segmentation,
ICPR21(5354-5359)
IEEE DOI
2105
Knowledge engineering, Motion segmentation, Semantics,
Streaming media, Pattern recognition, Acceleration, Task analysis
BibRef
Sellami, A.[Akrem],
Tabbone, S.[Salvatore],
Video semantic segmentation using deep multi-view representation
learning,
ICPR21(1-7)
IEEE DOI
2105
Deep learning, Correlation, Motion segmentation, Semantics,
Training data, Object segmentation, Feature extraction,
fully convolutional network
BibRef
Chen, Y.H.[Yi-Hong],
Cao, Y.[Yue],
Hu, H.[Han],
Wang, L.W.[Li-Wei],
Memory Enhanced Global-Local Aggregation for Video Object Detection,
CVPR20(10334-10343)
IEEE DOI
2008
Semantics, Object detection, Feature extraction, Detectors,
Aggregates, Object recognition, Optical imaging
BibRef
Huang, X.H.[Xu-Hua],
Xu, J.R.[Jia-Rui],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Fast Video Object Segmentation With Temporal Aggregation Network and
Dynamic Template Matching,
CVPR20(8876-8886)
IEEE DOI
2008
Object segmentation, Pipelines, Benchmark testing, Semantics,
Image segmentation, Task analysis, Feature extraction
BibRef
Lu, X.,
Wang, W.,
Shen, J.,
Tai, Y.,
Crandall, D.J.,
Hoi, S.C.H.,
Learning Video Object Segmentation From Unlabeled Videos,
CVPR20(8957-8967)
IEEE DOI
2008
Semantics, Supervised learning, Visualization, Training, Data models,
Object segmentation, Machine learning
BibRef
Hu, P.,
Caba, F.,
Wang, O.,
Lin, Z.,
Sclaroff, S.,
Perazzi, F.,
Temporally Distributed Networks for Fast Video Semantic Segmentation,
CVPR20(8815-8824)
IEEE DOI
2008
Feature extraction, Computational modeling, Image segmentation,
Semantics, Aggregates, Encoding, Task analysis
BibRef
Bujanca, M.,
Lujan, M.,
Lennox, B.,
FullFusion: A Framework for Semantic Reconstruction of Dynamic Scenes,
3D-Wild19(2168-2177)
IEEE DOI
2004
image colour analysis, image motion analysis,
image reconstruction, image segmentation, mobile robots,
dynamic SLAM
BibRef
Li, Y.,
Shi, J.,
Lin, D.,
Low-Latency Video Semantic Segmentation,
CVPR18(5997-6005)
IEEE DOI
1812
Semantics, Image segmentation, Convolution, Kernel, Task analysis,
Feeds, Streaming media
BibRef
Xu, Y.,
Fu, T.,
Yang, H.,
Lee, C.,
Dynamic Video Segmentation Network,
CVPR18(6556-6565)
IEEE DOI
1812
Semantics, Image segmentation, Feature extraction,
Video sequences, Acceleration, Adaptive scheduling
BibRef
Nilsson, D.,
Sminchisescu, C.,
Semantic Video Segmentation by Gated Recurrent Flow Propagation,
CVPR18(6819-6828)
IEEE DOI
1812
Semantics, Logic gates, Optical network units, Image segmentation,
Adaptation models, Motion segmentation
BibRef
Jain, S.[Samvit],
Gonzalez, J.E.[Joseph E.],
Fast Semantic Segmentation on Video Using Block Motion-Based Feature
Interpolation,
VSeg18(IV:3-6).
Springer DOI
1905
BibRef
Zhu, Y.[Yi],
Sapra, K.[Karan],
Reda, F.A.[Fitsum A.],
Shih, K.J.[Kevin J.],
Newsam, S.[Shawn],
Tao, A.[Andrew],
Catanzaro, B.[Bryan],
Improving Semantic Segmentation via Video Propagation and Label
Relaxation,
CVPR19(8848-8857).
IEEE DOI
2002
BibRef
Chandra, S.,
Couprie, C.,
Kokkinos, I.[Iasonas],
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation,
CVPR18(8915-8924)
IEEE DOI
1812
Image segmentation, Semantics, Task analysis, Linear systems,
Inference algorithms, Prediction algorithms
BibRef
Huang, P.Y.[Po-Yu],
Hsu, W.T.[Wan-Ting],
Chiu, C.Y.[Chun-Yueh],
Wu, T.F.[Ting-Fan],
Sun, M.[Min],
Efficient Uncertainty Estimation for Semantic Segmentation in Videos,
ECCV18(I: 536-552).
Springer DOI
1810
BibRef
Kwon, D.[Donghyeon],
Cho, M.[Minsu],
Kwak, S.[Suha],
Self-supervised Learning of Semantic Correspondence Using Web Videos,
WACV24(2131-2141)
IEEE DOI
2404
Training, Computational modeling, Semantics, Supervised learning,
Self-supervised learning, Manuals, Benchmark testing, Algorithms,
Image recognition and understanding
BibRef
Hong, S.[Seunghoon],
Yeo, D.[Donghun],
Kwak, S.[Suha],
Lee, H.[Honglak],
Han, B.[Bohyung],
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos,
CVPR17(2224-2232)
IEEE DOI
1711
Decoding, Image segmentation, Motion segmentation, Optimization,
Semantics, Videos
BibRef
Mahasseni, B.,
Todorovic, S.,
Fern, A.,
Budget-Aware Deep Semantic Video Segmentation,
CVPR17(2077-2086)
IEEE DOI
1711
Feature extraction, Interpolation, Labeling,
Runtime, Semantics, Training
BibRef
He, Y.[Yang],
Chiu, W.C.,
Keuper, M.[Margret],
Fritz, M.[Mario],
STD2P:
RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling,
CVPR17(7158-7167)
IEEE DOI
1711
Image segmentation, Indexes, Optical imaging, Semantics,
Training, Videos
BibRef
Kundu, A.[Abhijit],
Vineet, V.[Vibhav],
Koltun, V.[Vladlen],
Feature Space Optimization for Semantic Video Segmentation,
CVPR16(3168-3175)
IEEE DOI
1612
BibRef
Wang, H.L.[Hui-Ling],
Raiko, T.[Tapani],
Lensu, L.[Lasse],
Wang, T.H.[Ting-Huai],
Karhunen, J.[Juha],
Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video
Object Segmentation,
ACCV16(I: 163-179).
Springer DOI
1704
BibRef
Mustikovela, S.K.[Siva Karthik],
Yang, M.Y.[Michael Ying],
Rother, C.[Carsten],
Can Ground Truth Label Propagation from Video Help Semantic
Segmentation?,
VSeg16(III: 804-820).
Springer DOI
1611
BibRef
Zheng, S.[Shuai],
Cheng, M.M.[Ming-Ming],
Warrell, J.[Jonathan],
Sturgess, P.[Paul],
Vineet, V.[Vibhav],
Rother, C.[Carsten],
Torr, P.H.S.[Philip H.S.],
Dense Semantic Image Segmentation with Objects and Attributes,
CVPR14(3214-3221)
IEEE DOI
1409
Attributes, Image Segmentation, Object Recognition, Scene Understanding
BibRef
Jain, A.[Aastha],
Chatterjee, S.[Shuanak],
Vidal, R.[Rene],
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees,
ICCV13(1865-1872)
IEEE DOI
1403
Image segmentation
BibRef
Dunlop, H.[Heather],
Scene classification of images and video via semantic segmentation,
POCV10(72-79).
IEEE DOI
1006
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Segmentation, Neural Networks, Learning .