Hierarchical Patch Splitting
Hierarchical Patch Splitting is a patch splitting method that recursively partitions image patches into progressively finer sub-patches according to a predefined hierarchical structure, thereby enabling multi-scale feature learning in vision-based deep learning models.
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Publications
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Citations
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Authors
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Institutions
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2017–2026
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Chengdu University
Chengdu, China
1 h-index
1 publications
10 citations

Sichuan University
Chengdu, China
1 h-index
1 publications
10 citations
University of Faisalabad
Faisalabad, Pakistan
1 h-index
1 publications
10 citations

University of Agriculture Faisalabad
Faisalabad, Pakistan
1 h-index
1 publications
10 citations
Chengdu University of Information Technology
Chengdu, China
1 h-index
6 publications
60 citations

Xihua University
Chengdu, China
1 h-index
1 publications
10 citations

South China University of Technology
Guangzhou, China
1 publications
12 citations

Huazhong University of Science and Technology
Wuhan, China
1 publications
12 citations
1–8 of 6
1 publications · 10 citations
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Conference · 1 publications · 12 citations
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