Part-based Instance Segmentation
Part-Based Instance Segmentation is an instance segmentation framework that decomposes objects into semantic parts and performs pixel-level labeling by jointly identifying object instances and their constituent parts, distinguishing it from conventional instance segmentation by explicitly modeling internal object structure.
12
Publications
841
Citations
58
Authors
21
Institutions
Publications per year
2017–2026
11
Parents
12
DeepGCNs: Making GCNs Go as Deep as CNNs
Guohao Li, Matthias Mueller, Guocheng Qian et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021 · 208 citations · Full text
Deep learning for human part discovery in images
Gabriel L. Oliveira, Abhinav Valada, Claas Bollen et al. · 2016 · 93 citations · Full text
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Ablynx (Belgium)
Ghent, Belgium
1 h-index
1 publications
32 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
1 h-index
9 publications
135 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
138 citations
Wageningen University & Research
Wageningen, The Netherlands
1 h-index
2 publications
152 citations
King Mongkut's Institute of Technology Ladkrabang
Bangkok, Thailand
1 h-index
4 publications
220 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
1 h-index
7 publications
1.5K citations

Ghent University
Ghent, Belgium
1 h-index
5 publications
160 citations
Aerospace Information Research Institute
Beijing, China
1 h-index
4 publications
744 citations
1–8 of 21
TPAMI · 1 publications · 208 citations
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1 publications · 15 citations
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1 publications · 55 citations
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1 publications · 76 citations
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LNCS · Book series · 1 publications · 35 citations
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