Spatial Feature Aggregation
Spatial Feature Aggregation is a feature aggregation method that integrates local feature representations across spatial dimensions within a structured layout, distinguished by its explicit modeling of spatial relationships and configurations to enhance representational richness in visual understanding tasks.
60
Publications
4.1K
Citations
270
Authors
112
Institutions
Publications per year
2017–2026
53
Parents
60
Interaction-And-Aggregation Network for Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang et al. · 2019 · 428 citations
Dual Aggregation Transformer for Image Super-Resolution
Zheng Chen, Yulun Zhang, Jinjin Gu et al. · 2023 · 385 citations
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112

National University of Defense Technology
Changsha, China
3 h-index
8 publications
272 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
11 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
8 publications
2.2K citations

Beijing Institute of Technology
Beijing, China
3 h-index
9 publications
601 citations
Ningbo University
Ningbo, China
2 h-index
2 publications
45 citations
Wuhan University
Wuhan, China
2 h-index
10 publications
1.2K citations

Zhejiang University
Hangzhou, China
2 h-index
6 publications
165 citations
Baidu (China)
Beijing, China
2 h-index
8 publications
672 citations
1–8 of 112
Repository · 6 publications · 171 citations
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3 publications · 100 citations
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2 publications · 150 citations
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2 publications · 280 citations
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JAG · 2 publications · 56 citations
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