Feature Pooling
Feature Pooling is a feature aggregation technique that reduces the dimensionality of feature representations by applying a fixed mathematical operation—such as maximum, average, or sum—over spatial or channel-wise regions to retain dominant or representative activation patterns.
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808
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283
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2017–2026
151
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Path Aggregation Network for Instance Segmentation
Shu Liu, Lu Qi, Haifang Qin et al. · 2018 · 8.8K citations
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou, Daquan Zhou, Jiashi Feng · 2021 · 5.7K citations
A Theoretical Analysis of Feature Pooling in Visual Recognition
Y-Lan Boureau, Jean Ponce, Yann LeCun · 2010 · 1.2K citations
Learning mid-level features for recognition
Y-Lan Boureau, Francis Bach, Yann LeCun et al. · 2010 · 1.1K citations
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283

Chinese Academy of Sciences
Beijing, China
11 h-index
30 publications
1.5K citations

Peking University
Beijing, China
10 h-index
22 publications
9.8K citations
Tsinghua University
Beijing, China
8 h-index
19 publications
795 citations
University of California, Berkeley
Berkeley, United States
6 h-index
11 publications
3.4K citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
848 citations
New York University
New York, United States
6 h-index
12 publications
9.4K citations
The University of Texas at San Antonio
San Antonio, United States
5 h-index
5 publications
284 citations

Beijing Institute of Technology
Beijing, China
5 h-index
11 publications
1.7K citations
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Repository · 22 publications · 2.4K citations
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9 publications · 194 citations
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8 publications · 528 citations
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7 publications · 477 citations
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6 publications · 333 citations
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