vandit15/Class-balanced-loss-pytorch
vandit15/Class-balanced-loss-pytorch has 801 GitHub stars and 122 forks. GitHot measured 0 stars in 24 hours, 0 in 7 days, and 0 in 15 days. Last checked 2026-11-12 09:23 UTC. Last push 2024-02-18.
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
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README.md
OriginalClass-balanced-loss-pytorch
Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19.
Yin Cui, Menglin Jia, Tsung-Yi Lin(Google Brain), Yang Song(Google), Serge Belongie
Dependencies
- Python (>=3.6)
- Pytorch (>=1.2.0)
Review article of the paper
How it works
It works on the principle of calculating effective number of samples for all classes which is defined as:
Thus, the loss function is defined as:
Visualisation for effective number of samples
References
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