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Video Instance Segmentation (VIS) is a new and inherently multi-task problem, which aims to detect, segment, and track each instance in a video sequence.
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L. Yang, Y. Fan, and N. Xu, “Video instance segmentation,” in ICCV , 2019
2019
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K. Chen, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Shi, W. Ouyang, C. C. Loy, and D. Lin, “Hybrid task cascade for instance segmentation,” in CVPR , 2019
2019
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D. Neven, B. D. Brabandere, M. Proesmans, and L. V. Gool, “Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth,” in CVPR , 2019
2019
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G. Ghiasi, T.-Y. Lin, and Q. V. Le, “Nas-fpn: Learning scalable feature pyramid architecture for object detection,” in CVPR , 2019
2019
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D. Bolya, C. Zhou, F. Xiao, and Y. J. Lee, “Yolact: Real-time instance segmentation,” in ICCV , 2019
2019
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Z. Huang, L. Huang, Y. Gong, C. Huang, and X. Wang, “Mask scoring r-cnn,” in CVPR , 2019
2019
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P. Voigtlaender, M. Krause, A. Osep, J. Luiten, B. B. G. Sekar, A. Geiger, and B. Leibe, “Mots: Multi-object tracking and segmentation,” in CVPR , 2019
2019
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2020
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2020
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2020
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2020
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C.-C. Lin, Y. Hung, R. Feris, and L. He, “Video instance segmentation tracking with a modified vae architecture,” in CVPR , 2020
2020
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C. Yang, Y. Xu, J. Shi, B. Dai, and B. Zhou, “Temporal pyramid network for action recognition,” in CVPR , 2020, pp. 591–600
2020
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Y. Chen, X. Dai, M. Liu, D. Chen, L. Yuan, and Z. Liu, “Dynamic convolution: Attention over convolution kernels,” in CVPR , 2020
2020
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2020
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Y. Wang, Z. Xu, X. Wang, C. Shen, B. Cheng, H. Shen, and H. Xia, “End-to-end video instance segmentation with transformers,” in CVPR , 2021
2021
Closest in time.
2021
Closest in time.
Y. Fu, L. Yang, D. Liu, T. S. Huang, and H. Shi, “Compfeat: Comprehensive feature aggregation for video instance segmentation,” AAAI , 2021
2021
Closest in time.
H. Yuan, X. Li, Y. Yang, G. Cheng, J. Zhang, Y. Tong, L. Zhang, and D. Tao, “Polyphonicformer: Unified query learning for depth-aware video panoptic segmentation,” 2021
2021
Closest in time.
Z. Tian, C. Shen, H. Chen, and T. He, “FCOS: A simple and strong anchor-free object detector,” TPAMI , 2021
2021
Closest in time.
2021
Closest in time.
X. Li, W. Zhang, J. Pang, K. Chen, G. Cheng, Y. Tong, and C. C. Loy, “Video k-net: A simple, strong, and unified baseline for video segmentation,” in CVPR , 2022
2022
Closest in time.
Q. Zhou, X. Li, L. He, Y. Yang, G. Cheng, Y. Tong, L. Ma, and D. Tao, “Transvod: End-to-end video object detection with spatial-temporal transformers,” 2022
2022
Closest in time.