Weakly Supervised Instance Segmentation is a subtask of image segmentation that belongs to the broader category of instance segmentation, distinguished by its reliance on incomplete or inexact supervision—such as image-level labels, bounding boxes, or scribbles—rather than requiring pixel-precise annotations for training.
118
Publications
7.5K
Citations
456
Authors
206
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Publications per year
2017–2026
113
Parents
Publications
118
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva, Rodrigo Benenson, Jan Hosang et al. · 2017 · 823 citations
Weakly Supervised Instance Segmentation Using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye et al. · 2018 · 297 citations
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Authors
456
- XW
6
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- IB
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- WG
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1–5 of 456
Institutions
206
Tencent (China)
Shenzhen, China
7 h-index
11 publications
393 citations
Huazhong University of Science and Technology
Wuhan, China
6 h-index
19 publications
713 citations
Beihang University
Beijing, China
6 h-index
13 publications
616 citations
Tsinghua University
Beijing, China
6 h-index
13 publications
638 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
14 publications
1.8K citations
Shanghai Jiao Tong University
Shanghai, China
5 h-index
13 publications
1.4K citations
University of British Columbia
Vancouver, Canada
4 h-index
6 publications
165 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
86 citations
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Venues
- arXiv (Cornell University)
Repository · 15 publications · 391 citations
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- Medical Image Analysis
8 publications · 685 citations
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- International Journal of Computer Vision
5 publications · 332 citations
6
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- Pattern Recognition
4 publications · 252 citations
5
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- Neurocomputing
3 publications · 138 citations
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