Amodal Instance Segmentation
Amodal Instance Segmentation is a computer vision task that identifies and delineates individual object instances in an image by predicting their complete pixel-level masks, including both visible and spatially occluded regions, to infer the full extent of objects even where not directly observable.
21
Publications
1.3K
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78
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25
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2017–2026
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Amodal Instance Segmentation With KINS Dataset
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University of Calgary
Calgary, Canada
2 h-index
2 publications
46 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
46 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
7 publications
156 citations

University of Freiburg
Freiburg im Breisgau, Germany
2 h-index
4 publications
138 citations

South China Agricultural University
Guangzhou, China
1 h-index
6 publications
168 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
3 publications
270 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
3 publications
99 citations

Cornell University
Ithaca, United States
1 h-index
13 publications
702 citations
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5 publications · 158 citations
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Conference · 2 publications · 103 citations
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Repository · 2 publications · 38 citations
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IJMIR · 1 publications · 491 citations
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