Adaptive Patch Splitting is a dynamic image partitioning method in computer vision that, unlike fixed or uniform patch splitting techniques, adaptively adjusts the size and placement of patches based on local image content or feature complexity to optimize downstream task performance.
4
Publications
274
Citations
15
Authors
11
Institutions
Publications per year
2017–2026
2
Parents
Publications
4
DPT: Deformable Patch-based Transformer for Visual Recognition
Zhiyang Chen, Yousong Zhu, Chaoyang Zhao et al. · 2021 · 111 citations · Full text
Edge Detection by Adaptive Splitting
B. Llanas, Sagrario Lantarón Sánchez · Journal of Scientific Computing · 2010 · 13 citations
1–4 of 4
Authors
15
- BL
1
h-index
- SL
1
h-index
- JW
1
h-index
- SH
1
h-index
- CZ
1
h-index
1–5 of 15
Institutions
11
Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
333 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
222 citations
Universidad Politécnica de Madrid
Madrid, Spain
1 h-index
2 publications
26 citations
Chung-Ang University
Seoul, South Korea
1 h-index
3 publications
57 citations
Technicolor (France)
Paris, France
1 h-index
2 publications
262 citations
Délégation Paris 5
Paris, France
1 h-index
2 publications
262 citations
Institute of Automation
Beijing, China
1 h-index
2 publications
222 citations
Shandong Institute of Automation
Jinan, China
1 h-index
3 publications
333 citations
1–8 of 11
Venues
- Journal of Scientific Computing
1 publications · 13 citations
1
h-index
1–1