Learning-based Stereo Matching
Learning-Based Stereo Matching is a stereo matching method that employs machine learning models to infer pixel correspondences between image pairs by learning matching priors from data, distinguishing it from traditional geometry-driven or hand-crafted cost-based approaches.
66
Publications
3.7K
Citations
229
Authors
86
Institutions
Publications per year
2017–2026
53
Parents
66
Uncertainty estimation for stereo matching based on evidential deep learning
Chen Wang, Xiang Wang, Jiawei Zhang et al. · Pattern Recognition · 2021 · 182 citations
Unsupervised Learning of Stereo Matching
Chao Zhou, Hong Zhang, Xiaoyong Shen et al. · 2017 · 166 citations
Bilateral Grid Learning for Stereo Matching Networks
Bin Xu, Yuhua Xu, Xiaoli Yang et al. · 2021 · 130 citations
1–5 of 66
229
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Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 87 citations
3
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Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 87 citations
3
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 87 citations
3
h-index
1–5 of 229
86

Huazhong University of Science and Technology
Wuhan, China
5 h-index
23 publications
1.2K citations

Beijing Institute of Technology
Beijing, China
5 h-index
13 publications
815 citations

Beihang University
Beijing, China
4 h-index
15 publications
1.4K citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
15 publications
607 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
14 publications
1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
12 publications
406 citations

Stevens Institute of Technology
Hoboken, United States
3 h-index
6 publications
368 citations

Zhejiang University
Hangzhou, China
3 h-index
12 publications
295 citations
1–8 of 86
Repository · 8 publications · 210 citations
8
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Conference · 4 publications · 125 citations
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4 publications · 295 citations
4
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3 publications · 240 citations
3
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2 publications · 100 citations
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