Spatial Pyramid Matching is a feature encoding framework in computer vision that extends bag-of-words representations by hierarchically partitioning the image space into increasingly fine subregions and pooling local features within each level of the spatial pyramid to preserve coarse spatial layout information.
163
Publications
28.6K
Citations
532
Authors
226
Institutions
Publications per year
2017–2026
59
Parents
Publications
163
Bag-of-visual-words and spatial extensions for land-use classification
Yi Yang, Shawn Newsam · 2010 · 2.9K citations
Pyramid Stereo Matching Network
Jia-Ren Chang, Yong‐Sheng Chen · 2018 · 1.8K citations
1–5 of 163
Authors
532
- QT
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- BP
4
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- PK
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- HC
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- PT
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1–5 of 532
Institutions
226
Chinese Academy of Sciences
Beijing, China
9 h-index
30 publications
2K citations
National University of Singapore
Singapore, Singapore
8 h-index
10 publications
659 citations
The University of Texas at San Antonio
San Antonio, United States
7 h-index
7 publications
362 citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
18 publications
24.3K citations
Tsinghua University
Beijing, China
7 h-index
16 publications
766 citations
Shanghai Jiao Tong University
Shanghai, China
6 h-index
15 publications
414 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
13 publications
2K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
9 publications
205 citations
1–8 of 226
Venues
- arXiv (Cornell University)
Repository · 7 publications · 225 citations
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- IEEE Transactions on Image Processing
5 publications · 366 citations
5
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- IEEE Transactions on Circuits and Systems for Video Technology
3 publications · 569 citations
3
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- IEEE Geoscience and Remote Sensing Letters
GRSL · 3 publications · 96 citations
3
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- IEEE Transactions on Neural Networks and Learning Systems
3 publications · 184 citations
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1–5