pytorch-multi-class-focal-loss

An implementation of multi-class focal loss in pytorch.

Focal loss,originally developed for handling extreme foreground-background class imbalance in object detection algorithms, could be used as an alternative for cross-entropy loss when you have imbalanced datasets.
original paper: https://arxiv.org/abs/1708.02002

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Requirements:

  • torch >=1.2.0