Mask-Free Video Instance Segmentation

Author:

Ke Lei1,Danelljan Martin1,Ding Henghui1,Tai Yu-Wing2,Tang Chi-Keung2,Yu Fisher1

Affiliation:

1. ETH Zürich

2. HKUST

Funder

Huawei Technologies

Publisher

IEEE

Reference64 articles.

1. Weakly supervised instance segmentation using the bounding box tightness prior;hsu;NeurIPS,0

2. Seqformer: a frustratingly simple model for video instance segmentation;wu;ECCV,0

3. Vita: Video instance segmentation via object token association;heo;NeurIPS,0

4. Track to Detect and Segment: An Online Multi-Object Tracker

5. Video instance segmentation using inter-frame communication transformers;hwang;NeurIPS,0

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1. Medical Surgery Stream Segmentation to Detect and Track Robotic Tools;2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC);2024-02-05

2. Cluster2Former: Semisupervised Clustering Transformers for Video Instance Segmentation;Sensors;2024-02-03

3. Toward High Quality Multi-Object Tracking and Segmentation Without Mask Supervision;IEEE Transactions on Image Processing;2024

4. Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

5. Improving Knowledge Distillation via Head and Tail Categories;IEEE Transactions on Circuits and Systems for Video Technology;2023

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