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
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 .