Object Detection
Object Detection is a computational process within visual perception that identifies the presence, location, and extent of specific instances of semantic objects in an image or video sequence, distinguished from related tasks by its simultaneous output of class labels and spatial bounding geometry.
41.9K
Publications
4.1M
Citations
86.6K
Authors
7.6K
Institutions
Publications per year
2017–2026
23.5K
41.9K
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia et al. · 2015 · 46.8K citations
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su et al. · International Journal of Computer Vision · 2015 · 40.2K citations
Histograms of Oriented Gradients for Human Detection
Navneet Dalal, Bill Triggs · 2005 · 31.9K citations · Full text
1–5 of 41.9K
86.6K
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European Organization for Nuclear Research, Switzerland
98 publications · 42.4K citations
66
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66
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63
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63
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1–5 of 86.6K
7.6K

Chinese Academy of Sciences
Beijing, China
137 h-index
3.8K publications
298.6K citations
Carnegie Mellon University
Pittsburgh, United States
128 h-index
1.2K publications
205.2K citations
University of Chinese Academy of Sciences
Beijing, China
123 h-index
2K publications
187.6K citations
Tsinghua University
Beijing, China
118 h-index
1.6K publications
222.7K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
117 h-index
892 publications
281.2K citations
University of Oxford
Oxford, United Kingdom
105 h-index
512 publications
194.9K citations
ETH Zurich
Zurich, Switzerland
104 h-index
611 publications
112.8K citations
University of California, Berkeley
Berkeley, United States
104 h-index
658 publications
301.1K citations
1–8 of 7.6K
TPAMI · 736 publications · 326.3K citations
200
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Repository · 2.3K publications · 236.1K citations
186
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689 publications · 75.5K citations
129
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531 publications · 47.1K citations
112
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457 publications · 39.4K citations
104
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