Focal Loss
Focal Loss is a modified cross-entropy loss function designed to address class imbalance by down-weighting the contribution of easy-to-classify examples and focusing training on hard, misclassified examples.
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76.9K
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2017–2026
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Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. · 2017 · 25.7K citations
Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 9.6K citations
Focal and efficient IOU loss for accurate bounding box regression
Yifan Zhang, Weiqiang Ren, Zhang Zhang et al. · Neurocomputing · 2022 · 1.9K citations
Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. · arXiv (Cornell University) · 2017 · 1.4K citations · Full text
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Chinese Academy of Sciences
Beijing, China
24 h-index
93 publications
14.4K citations
University of Chinese Academy of Sciences
Beijing, China
17 h-index
59 publications
10.8K citations

National University of Defense Technology
Changsha, China
12 h-index
27 publications
1.2K citations
University of Science and Technology of China
Hefei, China
11 h-index
21 publications
575 citations

University of Electronic Science and Technology of China
Chengdu, China
11 h-index
33 publications
890 citations
Tsinghua University
Beijing, China
10 h-index
22 publications
1.2K citations

Northwestern Polytechnical University
Xi'an, China
10 h-index
29 publications
2.2K citations

Xidian University
Xi'an, China
10 h-index
34 publications
1K citations
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40 publications · 2.1K citations
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