Class-agnostic Instance Segmentation
Class-Agnostic Instance Segmentation is an instance segmentation paradigm that identifies and delineates individual object instances in an image without assigning semantic class labels, thereby focusing solely on instance separation independent of object categories.
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139
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2017–2026
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Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang, Li Zhang, Luca Bertinetto et al. · 2019 · 1.5K citations
Chi Zhang, Guosheng Lin, Fayao Liu et al. · 2019 · 662 citations · Full text
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
Bowen Cheng, Maxwell D. Collins, Yukun Zhu et al. · 2020 · 620 citations
Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, Piotr Dollár · arXiv (Cornell University) · 2015 · 523 citations · Full text
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Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
1.6K citations
Meta (Israel)
Tel Aviv, Israel
3 h-index
10 publications
2.6K citations

University of Toronto
Toronto, Canada
2 h-index
4 publications
146 citations
Institute of Computing Technology
Beijing, China
2 h-index
2 publications
103 citations
Tencent (China)
Shenzhen, China
2 h-index
6 publications
204 citations

Southern University of Science and Technology
Shenzhen, China
2 h-index
2 publications
103 citations

The University of Adelaide
Adelaide, Australia
2 h-index
3 publications
1.4K citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
2 h-index
9 publications
505 citations
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Repository · 13 publications · 1.1K citations
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3 publications · 51 citations
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Conference · 2 publications · 112 citations
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Conference · 2 publications · 147 citations
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Repository · 1 publications · 69 citations
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