Instance Segmentation For Robotic Manipulation
Instance Segmentation for Robotic Manipulation is a computer vision task that identifies and delineates individual object instances in an image while providing pixel-level masks, specifically tailored to support robotic systems in perceiving and interacting with distinct objects in complex, cluttered environments.
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Publications
523
Citations
46
Authors
14
Institutions
Publications per year
2017–2026
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The University of Tokyo
Tokyo, Japan
2 h-index
9 publications
225 citations

University of Bologna
Bologna, Italy
1 h-index
3 publications
138 citations
Lviv Polytechnic National University
Lviv, Ukraine
1 h-index
1 publications
40 citations

Liverpool Hope University
Liverpool, United Kingdom
1 h-index
1 publications
40 citations
Toshiba (United Kingdom)
Weybridge, United Kingdom
1 h-index
1 publications
14 citations

Northeastern University
Shenyang, China
1 h-index
6 publications
174 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
3 publications
201 citations
Korea University
Seoul, South Korea
1 h-index
3 publications
51 citations
1–8 of 14
Conference · 2 publications · 81 citations
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1 publications · 40 citations
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1 publications · 46 citations
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1 publications · 29 citations
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1 publications · 67 citations
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