Patch Interaction Networks
Patch Interaction Networks is a computational framework that models hierarchical relationships among image patches by learning adaptive spatial interactions during feature aggregation in vision transformer architectures.
3
Publications
373
Citations
22
Authors
6
Institutions
Publications per year
2017–2026
3
Parents
3
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin et al. · IEEE Transactions on Multimedia · 2023 · 344 citations
Xinyue Xin, Ming Li, Yan Wu et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2024 · 13 citations · Full text
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
Jiayu Jiao, Yuming Tang, Kun-Yu Lin et al. · arXiv (Cornell University) · 2023 · 12 citations · Full text
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6

University of Macau
Macao, Macao
1 h-index
5 publications
85 citations
Institute of Microbiology
Beijing, China
1 h-index
12 publications
204 citations
Peng Cheng Laboratory
Shenzhen, China
1 h-index
2 publications
688 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
4 publications
68 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
7 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
1 h-index
12 publications
204 citations

Xidian University
Xi'an, China
1 publications
13 citations
Beijing Institute of Radio Metrology and Measurement
Beijing, China
1 publications
13 citations
1–8 of 6
Repository · 1 publications · 12 citations
1
h-index
1 publications · 17 citations
1
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1 publications · 344 citations
1
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1 publications · 13 citations
TOMCCAP · 1 publications · 14 citations
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