Patch Prediction is a self-supervised learning method that involves predicting the spatial arrangement or content of image patches within a global context to learn meaningful visual representations without labeled data.
32
Publications
1.6K
Citations
140
Authors
64
Institutions
Publications per year
2017–2026
22
Parents
Publications
32
A Non-Local CNN for Video Denoising
Axel Davy, Thibaud Ehret, Jean‐Michel Morel et al. · 2019 · 74 citations
1–5 of 32
Authors
140
- BH
2
h-index
- YY
2
h-index
- GF
2
h-index
- SL
2
h-index
- JM
2
h-index
1–5 of 140
Institutions
64
Tsinghua University
Beijing, China
3 h-index
17 publications
4K citations
Chinese Academy of Sciences
Beijing, China
3 h-index
12 publications
366 citations
Imperial College London
London, United Kingdom
2 h-index
10 publications
240 citations
Institute of Automation
Beijing, China
2 h-index
9 publications
294 citations
Shanghai Jiao Tong University
Shanghai, China
2 h-index
9 publications
180 citations
Tsinghua–Berkeley Shenzhen Institute
Shenzhen, China
2 h-index
15 publications
3.9K citations
Peking University
Beijing, China
2 h-index
8 publications
586 citations
University of Science and Technology of China
Hefei, China
1 h-index
3 publications
72 citations
1–8 of 64
Venues
- arXiv (Cornell University)
Repository · 3 publications · 120 citations
3
h-index
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Conference · 2 publications · 507 citations
2
h-index
- IEEE Transactions on Circuits and Systems for Video Technology
2 publications · 122 citations
2
h-index
- Nucleic Acids Research
1 publications · 38 citations
1
h-index
- Proteins Structure Function and Bioinformatics
1 publications · 35 citations
1
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1–5