Interactive Instance Segmentation
Interactive Instance Segmentation is an instance segmentation paradigm that iteratively refines object masks through human-in-the-loop feedback, distinguishing itself from autonomous methods by incorporating user-provided inputs such as clicks or corrections to guide the segmentation process.
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1.8K
Citations
138
Authors
89
Institutions
Publications per year
2017–2026
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PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma et al. · 2020 · 185 citations
Deep GrabCut for Object Selection
Ning Xu, Brian Price, Scott Cohen et al. · 2017 · 130 citations · Full text
Interactive Object Segmentation With Inside-Outside Guidance
Shiyin Zhang, Jun Hao Liew, Yunchao Wei et al. · 2020 · 129 citations
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University of Toronto
Toronto, Canada
3 h-index
10 publications
950 citations
The University of Texas at Austin
Austin, United States
3 h-index
6 publications
142 citations
National University of Singapore
Singapore, Singapore
3 h-index
3 publications
237 citations
Beijing Jiaotong University
Beijing, China
2 h-index
8 publications
482 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
6 publications
136 citations
Advanced Technologies Group (United States)
Stuart, United States
2 h-index
12 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
90 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
5 publications
409 citations
1–8 of 89
Repository · 3 publications · 41 citations
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2 publications · 274 citations
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2 publications · 45 citations
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2 publications · 81 citations
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1 publications · 11 citations
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