Panoptic Segmentation
Panoptic Segmentation is a unifying image understanding task that jointly performs semantic segmentation and instance segmentation by assigning every pixel in an image to either a unique instance of a thing class or a stuff class, thereby providing a complete, consistent, and pixel-level labeling of all entities in a scene.
195
Publications
18.8K
Citations
649
Authors
160
Institutions
Publications per year
2017–2026
194
195
Panoptic Feature Pyramid Networks
Alexander Kirillov, Ross Girshick, Kaiming He et al. · 2019 · 1.4K citations
Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu et al. · Computational Visual Media · 2023 · 981 citations · Full text
End-to-End Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve et al. · Lecture notes in computer science · 2020 · 831 citations · Full text
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
Bowen Cheng, Maxwell D. Collins, Yukun Zhu et al. · 2020 · 620 citations
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649
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160
Google (United States)
Mountain View, United States
12 h-index
58 publications
9.2K citations

Zhejiang University
Hangzhou, China
11 h-index
43 publications
2.6K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
22 publications
2.4K citations
Nanyang Technological University
Singapore, Singapore
10 h-index
33 publications
1.3K citations
University of Chinese Academy of Sciences
Beijing, China
9 h-index
29 publications
1.5K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
9 h-index
12 publications
945 citations

Peking University
Beijing, China
8 h-index
20 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
26 publications
988 citations
1–8 of 160
Repository · 51 publications · 2.5K citations
23
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Conference · 12 publications · 736 citations
12
h-index
8 publications · 423 citations
8
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TPAMI · 7 publications · 374 citations
6
h-index
Conference · 5 publications · 517 citations
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