Evaluation Benchmarks
Evaluation Benchmarks is a standardized point of reference in the form of a dataset, metric, task, or methodological framework against which the performance, validity, or generalizability of recommender systems is systematically assessed and compared within academic evaluation contexts.
1.4K
Publications
153K
Citations
5.5K
Authors
1.4K
Institutions
Publications per year
2017–2026
706
1.4K
Omkar Parkhi, Andrea Vedaldi, Andrew Zisserman · 2015 · 5.1K citations · Full text
Christian Bienia, Sanjeev Kumar, Jaswinder Pal Singh et al. · 2008 · 3.4K citations
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev, Christian Szegedy · 2014 · 3.3K citations · Full text
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Google (United States)
Mountain View, United States
20 h-index
79 publications
105.9K citations
Tsinghua University
Beijing, China
19 h-index
73 publications
11K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
17 h-index
44 publications
3.4K citations
University of Washington
Seattle, United States
16 h-index
59 publications
5.6K citations
The University of Texas at Austin
Austin, United States
16 h-index
55 publications
2.3K citations
Stanford University
Stanford, United States
16 h-index
29 publications
3.5K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
69 publications
3K citations
Carnegie Mellon University
Pittsburgh, United States
16 h-index
60 publications
5.5K citations
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Repository · 181 publications · 22.8K citations
56
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Conference · 19 publications · 1.8K citations
15
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TPAMI · 15 publications · 2.3K citations
14
h-index
Conference · 14 publications · 1.3K citations
13
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Conference · 11 publications · 472 citations
11
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