Superpixel Features is a type of image feature representation that partitions an image into perceptually meaningful, homogeneous regions—referred to as superpixels—thereby reducing computational complexity while preserving significant spatial structures and intensity variations for subsequent computer vision analysis.
331
Publications
21.8K
Citations
1.3K
Authors
470
Institutions
Publications per year
2017–2026
223
Parents
Publications
331
Andrea Vedaldi, Brian Fulkerson · 2010 · 2.7K citations
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain et al. · 2018 · 512 citations
VLFeat: An open and portable library of computer vision algorithms
2010 · 486 citations
1–5 of 331
Authors
1.3K
- SJ
7
h-index
- XJ
6
h-index
- LJ
6
h-index
- JZ
5
h-index
- QL
5
h-index
1–5 of 1.3K
Institutions
470
Xidian University
Xi'an, China
16 h-index
78 publications
4.5K citations
Chinese Academy of Sciences
Beijing, China
11 h-index
24 publications
1K citations
Wuhan University
Wuhan, China
11 h-index
30 publications
2.5K citations
Shenzhen University
Shenzhen, China
10 h-index
37 publications
2.2K citations
Institute for Infocomm Research
Singapore, Singapore
9 h-index
28 publications
1.8K citations
Northwestern Polytechnical University
Xi'an, China
8 h-index
17 publications
1.8K citations
Huazhong University of Science and Technology
Wuhan, China
8 h-index
31 publications
923 citations
National University of Singapore
Singapore, Singapore
8 h-index
15 publications
897 citations
1–8 of 470
Venues
- IEEE Transactions on Geoscience and Remote Sensing
31 publications · 2.3K citations
25
h-index
- Remote Sensing
21 publications · 673 citations
16
h-index
- IEEE Transactions on Image Processing
16 publications · 1.9K citations
15
h-index
- IEEE Geoscience and Remote Sensing Letters
GRSL · 11 publications · 454 citations
11
h-index
- IEEE Transactions on Circuits and Systems for Video Technology
9 publications · 970 citations
9
h-index
1–5