Visual Object Localization
Visual Object Localization is a computational method in computer vision that identifies the precise spatial coordinates of objects within an image, distinguished from broader object recognition techniques by its focus on determining both the presence and exact position of objects rather than mere classification.
461
Publications
43.9K
Citations
1.4K
Authors
495
Institutions
Publications per year
2017–2026
191
461
Learning Deep Features for Discriminative Localization
Bolei Zhou, Aditya Khosla, Àgata Lapedriza et al. · 2016 · 10.8K citations · Full text
Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray et al. · 2017 · 2.8K citations
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou, Aditya Khosla, Àgata Lapedriza et al. · arXiv (Cornell University) · 2014 · 715 citations · Full text
1–5 of 461
1.4K
Massachusetts Institute of Technology, United States
8 publications · 12.8K citations
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6
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5
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5
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5
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1–5 of 1.4K
495

Chinese Academy of Sciences
Beijing, China
12 h-index
38 publications
2.5K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
31 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
32 publications
2.1K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
17 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
8 h-index
16 publications
3.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
17 publications
2.6K citations
Institute of Automation
Beijing, China
8 h-index
26 publications
1.4K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
15 publications
520 citations
1–8 of 495
Repository · 37 publications · 2.4K citations
21
h-index
11 publications · 524 citations
11
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TPAMI · 11 publications · 901 citations
11
h-index
9 publications · 1.2K citations
9
h-index
6 publications · 356 citations
6
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1–5