Object Affordance Detection
Object Affordance Detection is a computational method that identifies the set of actions or functions an object enables in a given context, distinguished from related perception tasks by its focus on extracting functionally relevant properties that specify potential interactions between agents and objects.
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4.9K
Citations
166
Authors
87
Institutions
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2017–2026
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University of Science and Technology of China
Hefei, China
6 h-index
22 publications
638 citations

The University of Sydney
Sydney, Australia
4 h-index
8 publications
533 citations

Universität Innsbruck
Innsbruck, Austria
3 h-index
7 publications
163 citations

Cornell University
Ithaca, United States
3 h-index
7 publications
3.6K citations
Warsaw University of Technology
Warsaw, Poland
2 h-index
4 publications
72 citations

University of Bologna
Bologna, Italy
2 h-index
2 publications
120 citations
Jingdong (China)
Beijing, China
2 h-index
3 publications
77 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
137 citations
1–8 of 87
4 publications · 150 citations
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Repository · 3 publications · 83 citations
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TCDS · 2 publications · 68 citations
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Conference · 2 publications · 77 citations
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2 publications · 119 citations
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