Mask Prediction
Mask Prediction is a methodological framework within instance segmentation that generates pixel-wise binary masks to distinguish individual object instances by localizing and delineating their precise spatial extents in an image.
186
Publications
58.5K
Citations
722
Authors
223
Institutions
Publications per year
2017–2026
174
Parents
186
Kaiming He, Georgia Gkioxari, Piotr Dollár et al. · 2017 · 28.8K citations
Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin et al. · 2018 · 8.8K citations
Kaiming He, Georgia Gkioxari, Piotr Dollár et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 3.4K citations
Kaiming He, Georgia Gkioxari, Piotr Dollár et al. · arXiv (Cornell University) · 2017 · 1.5K citations · Full text
Fully Convolutional Instance-Aware Semantic Segmentation
Yi Li, Haozhi Qi, Jifeng Dai et al. · 2017 · 1.1K citations
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223
Chinese University of Hong Kong
Hong Kong, Hong Kong
11 h-index
37 publications
28.3K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
22 publications
1K citations
Tsinghua University
Beijing, China
10 h-index
19 publications
3.6K citations

Huazhong University of Science and Technology
Wuhan, China
7 h-index
25 publications
3.7K citations
Meta (Israel)
Tel Aviv, Israel
6 h-index
15 publications
118.6K citations

Zhejiang University
Hangzhou, China
6 h-index
17 publications
806 citations

The University of Adelaide
Adelaide, Australia
6 h-index
17 publications
4.3K citations
Google (United States)
Mountain View, United States
6 h-index
26 publications
2.2K citations
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Repository · 36 publications · 4.3K citations
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TPAMI · 11 publications · 4.3K citations
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Conference · 9 publications · 887 citations
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4 publications · 91 citations
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4 publications · 176 citations
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