Attention Pooling
Attention Pooling is an aggregation method that selectively combines input features by weighting their contributions according to learned attention scores, thereby emphasizing contextually relevant elements within a sequence.
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10K
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183
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2017–2026
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Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification
Shuangjie Xu, Yu Cheng, Kang Gu et al. · 2017 · 342 citations
Cícero Nogueira dos Santos, Ming Tan, Bing Xiang et al. · arXiv (Cornell University) · 2016 · 325 citations · Full text
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University of Science and Technology of China
Hefei, China
7 h-index
29 publications
1.9K citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
13 publications
572 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
22 publications
697 citations
Wuhan University
Wuhan, China
5 h-index
15 publications
659 citations
Texas A&M University
College Station, United States
4 h-index
8 publications
1.1K citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
11 publications
1.3K citations

Peking University
Beijing, China
3 h-index
9 publications
485 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
5 publications
126 citations
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Repository · 24 publications · 1.2K citations
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7 publications · 144 citations
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Conference · 6 publications · 411 citations
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4 publications · 206 citations
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GRSL · 3 publications · 127 citations
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