CVPR (Computer Vision)(Average MAP score: 0.19) | |
CVPR (Computer Vision) 2012 | |
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CVPR (Computer Vision) 2011 | |
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CVPR (Computer Vision) 2010 | |
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CVPR (Computer Vision) 2009 | |
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CVPR (Computer Vision) 2008 | |
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CVPR (Computer Vision) 2007 | |
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CVPR (Computer Vision) 2006 | |
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CVPR (Computer Vision) 2005 | |
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CVPR (Computer Vision) 2004 | |
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CVPR (Computer Vision) 2003 | |
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CVPR (Computer Vision) 2001 | |
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CVPR (Computer Vision) 2000 | |
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MAP (Mean Average Precision) is a measure to evaluate the ranking performance. The MAP score of a conference in a year is calculated by viewing best papers of the conference in the corresponding year as the ground truth and the top cited papers as the ranking results.
MAP(conference, year) = 1/3 \times \sum_{n=1,...,3} \frac{#best_paper_in_top_n_cited_papers}{n}