Cross-feature Aggregation
Cross-Feature Aggregation is a feature engineering method that integrates information across distinct feature dimensions or modalities to enhance representational capacity by capturing higher-order interactions beyond univariate or intra-feature transformations.
14
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2K
Citations
62
Authors
38
Institutions
Publications per year
2017–2026
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14
Cross-level Feature Aggregation Network for Polyp Segmentation
Tao Zhou, Yi Zhou, Kelei He et al. · Pattern Recognition · 2023 · 306 citations
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
Weiqing Yan, Yuanyang Zhang, Chenlei Lv et al. · 2023 · 150 citations
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Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
3.4K citations
Institute of Computing Technology
Beijing, China
2 h-index
5 publications
3.4K citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
2.2K citations

Shenzhen University
Shenzhen, China
2 h-index
2 publications
175 citations

Beijing Institute of Technology
Beijing, China
2 h-index
2 publications
153 citations

Nanjing Medical University
Nanjing, China
2 h-index
2 publications
342 citations

Beijing University of Technology
Beijing, China
1 h-index
2 publications
28 citations
Nanjing University of Science and Technology
Nanjing, China
1 h-index
3 publications
918 citations
1–8 of 38
1 publications · 27 citations
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1 publications · 119 citations
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Repository · 1 publications · 113 citations
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1 publications · 25 citations
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1 publications · 36 citations
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