Retrieval Evaluation
Retrieval Evaluation is a methodological framework within multimedia retrieval that systematically assesses the effectiveness, efficiency, and robustness of retrieval systems by measuring their performance against standardized benchmarks and metrics.
1.3K
Publications
80.4K
Citations
2.7K
Authors
781
Institutions
Publications per year
2017–2026
177
Parents
1.3K
The MIR flickr retrieval evaluation
Mark J. Huiskes, Michael S. Lew · 2008 · 1.8K citations
Three things everyone should know to improve object retrieval
Relja Arandjelović, Andrew Zisserman · 2012 · 1.4K citations
Evaluation campaigns and TRECVid
Alan F. Smeaton, Paul Over, Wessel Kraaij · 2006 · 1.2K citations · Full text
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HES-SO University of Applied Sciences and Arts Western Switzerland, Switzerland
22 publications · 1.4K citations
16
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1–5 of 2.7K
781
Carnegie Mellon University
Pittsburgh, United States
29 h-index
96 publications
7K citations
Dublin City University
Dublin, Ireland
28 h-index
122 publications
5.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
26 h-index
79 publications
10K citations
National Institute of Standards and Technology
Gaithersburg, United States
24 h-index
50 publications
5.5K citations

University of Amsterdam
Amsterdam, The Netherlands
22 h-index
102 publications
8.7K citations
Microsoft (United States)
Redmond, United States
19 h-index
32 publications
2.2K citations

University of Glasgow
Glasgow, United Kingdom
19 h-index
62 publications
1.7K citations
Microsoft Research Asia (China)
Beijing, China
18 h-index
42 publications
5.2K citations
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32 publications · 2.1K citations
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23 publications · 1.4K citations
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29 publications · 722 citations
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22 publications · 1.6K citations
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17 publications · 523 citations
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