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CVPR (Computer Vision)(Average MAP score: 0.19) | |
CVPR (Computer Vision) 2012( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2011( MAP score: 1.0 ) TOP | |
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CVPR (Computer Vision) 2010( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2009( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2008( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2007( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2006( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2005( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2004( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2003( MAP score: 0.28 ) TOP | |
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CVPR (Computer Vision) 2001( MAP score: 0.0 ) TOP | |
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CVPR (Computer Vision) 2000( MAP score: 1.0 ) TOP | |
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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}
posted on 2013-04-09 16:10 Shicai Yang 阅读(1353) 评论() 收藏 举报