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Thank you, Jacob, for your excellent work on pytorch-gradcam.
This pull request introduces Finer-CAM, a new method that improves class activation mapping for fine-grained classification tasks. Our approach uses a weighted difference between the main category and comparison categories to suppress shared features and highlight discriminative details. This method is based on our recent paper, which has been accepted by CVPR 2025:
Finer-CAM.
Finer-CAM is implemented through the new classes
FinerWeightedTarget
andFinerCAM
. The design makes it easy to integrate with existing CAM methods while providing a clearer view of subtle differences between similar classes.I have also prepared a tutorial: Finer-CAM Tutorial to help you test this method more easily. Please let me know if you have any questions or suggestions.
Again, thank you for your wonderful work!