Feature Detection
Feature Detection is a computational process in which distinctive and salient patterns or structures are identified within visual, spectral, or sensor-derived data to enable higher-level analysis, distinguishing itself by focusing on the localization and characterization of informative elements relevant to interpretation in domains such as Computer Vision, Metabolomics, and Robot Vision.
22K
Publications
1.7M
Citations
57.2K
Authors
6.7K
Institutions
Publications per year
2017–2026
10.5K
22K
Histograms of Oriented Gradients for Human Detection
Navneet Dalal, Bill Triggs · 2005 · 31.9K citations · Full text
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick et al. · 2017 · 28.7K citations
Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22.1K citations
1–5 of 22K
57.2K
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6.7K

Chinese Academy of Sciences
Beijing, China
97 h-index
1.5K publications
105.7K citations
University of Chinese Academy of Sciences
Beijing, China
67 h-index
651 publications
61.3K citations
Tsinghua University
Beijing, China
64 h-index
590 publications
53.7K citations
Nanyang Technological University
Singapore, Singapore
62 h-index
406 publications
28.9K citations

Beihang University
Beijing, China
59 h-index
555 publications
38.5K citations
University of Maryland, College Park
College Park, United States
58 h-index
276 publications
35.1K citations
Wuhan University
Wuhan, China
58 h-index
575 publications
51.5K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
57 h-index
264 publications
45.6K citations
1–8 of 6.7K
TPAMI · 254 publications · 122.1K citations
127
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290 publications · 29.4K citations
91
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380 publications · 36K citations
90
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585 publications · 28K citations
82
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234 publications · 21.2K citations
81
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