Attention-based Feature Aggregation
Attention-Based Feature Aggregation is a feature aggregation method that dynamically weights the contribution of individual features based on their contextual relevance using attention mechanisms.
127
Publications
16.7K
Citations
538
Authors
192
Institutions
Publications per year
2017–2026
126
Parents
127
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou, Daquan Zhou, Jiashi Feng · 2021 · 5.7K citations
Kai Han, An Xiao, Enhua Wu et al. · arXiv (Cornell University) · 2021 · 1K citations · Full text
Activating More Pixels in Image Super-Resolution Transformer
Xiangyu Chen, Xintao Wang, Jiantao Zhou et al. · 2023 · 993 citations
Residual Feature Aggregation Network for Image Super-Resolution
Jie Liu, Wenjie Zhang, Yuting Tang et al. · 2020 · 615 citations
1–5 of 127
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Nanjing University of Information Science and Technology, China
4 publications · 201 citations
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4
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1–5 of 538
192

Chinese Academy of Sciences
Beijing, China
10 h-index
27 publications
4.4K citations
Wuhan University
Wuhan, China
6 h-index
12 publications
2.1K citations

Nanjing University of Information Science and Technology
Nanjing, China
5 h-index
15 publications
720 citations

Beihang University
Beijing, China
5 h-index
12 publications
1.3K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
15 publications
1.1K citations
Tsinghua University
Beijing, China
5 h-index
5 publications
411 citations

Harbin Institute of Technology
Harbin, China
4 h-index
10 publications
870 citations

National University of Defense Technology
Changsha, China
4 h-index
13 publications
296 citations
1–8 of 192
Repository · 18 publications · 1.9K citations
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5 publications · 190 citations
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5 publications · 194 citations
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5 publications · 921 citations
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3 publications · 82 citations
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