https://github.com/doiken23/focal_segmentation

semantic segmentation with focal loss
https://github.com/doiken23/focal_segmentation

Last synced: 3 months ago
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semantic segmentation with focal loss

• Host: GitHub
• URL: https://github.com/doiken23/focal_segmentation
• Owner: doiken23
• Created: 2018-01-09T03:08:07.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-09T06:36:07.000Z (about 7 years ago)
• Last Synced: 2024-08-02T02:09:12.564Z (7 months ago)
• Language: Python
• Size: 10.7 KB
• Stars: 47
• Watchers: 2
• Forks: 11
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Focal Loss for Semantic Segmentation

## Focal Loss

[Focal Loss](http://arxiv.org/abs/1708.02002) was proposed by Tsung-Yi Lin et al. in order to improve one-stage object detector.

This loss down-weight the loss value of well classified targets.

So, this loss allow to detector learn from the hard-example well.

This loss has potential for expansion into other task such as classification or semantic segmentation.

In this project, I apply the focal loss to multi-class semantic segmentation.