Jaccard Loss
Jaccard Loss is a loss function in machine learning that penalizes the dissimilarity between predicted and true sets by measuring the complement of the Jaccard index, defined as the ratio of the intersection to the union of the sets.
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2017–2026
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Variants
Intersection Over Union Loss
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KU Leuven
Leuven, Belgium
3 h-index
12 publications
5.5K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
242 citations

Poznań University of Technology
Poznan, Poland
2 h-index
4 publications
54 citations
University College London
London, United Kingdom
2 h-index
4 publications
105 citations
National University of Singapore
Singapore, Singapore
2 h-index
3 publications
59 citations

Peking University
Beijing, China
2 h-index
6 publications
489 citations
Shandong Institute of Automation
Jinan, China
2 h-index
6 publications
131 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
379 citations
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Repository · 9 publications · 367 citations
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