Attention-based Aggregation
Attention-Based Aggregation is a gather operation that selectively combines input elements through weighted summation, where the weights are dynamically computed by an attention mechanism to emphasize contextually relevant contributions.
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4.6K
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288
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128
Institutions
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2017–2026
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Dual Aggregation Transformer for Image Super-Resolution
Zheng Chen, Yulun Zhang, Jinjin Gu et al. · 2023 · 385 citations
Xinhai Liu, Zhizhong Han, Yu-Shen Liu et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 332 citations · Full text
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
Jungho Lee, Minhyeok Lee, Dogyoon Lee et al. · 2023 · 264 citations
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Tsinghua University
Beijing, China
6 h-index
14 publications
3.6K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
711 citations

Yanshan University
Qinhuangdao, China
4 h-index
17 publications
664 citations

University Town of Shenzhen
Shenzhen, China
2 h-index
4 publications
185 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
8 publications
512 citations

Beijing Institute of Technology
Beijing, China
2 h-index
5 publications
278 citations
Fudan University
Shanghai, China
2 h-index
5 publications
115 citations

Beihang University
Beijing, China
2 h-index
2 publications
44 citations
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Repository · 9 publications · 215 citations
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Conference · 4 publications · 453 citations
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3 publications · 76 citations
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Conference · 2 publications · 1.1K citations
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2 publications · 91 citations
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