Does Grad-CAM++ provides the explanation of both classes in binary classification?
I used Resnet50 model in binary classification and BCE Loss as the loss function. The labels were 0 and 1.
The accuracy of the model was almost 100% and the class distribution of the test set was almost even.
By applying Grad-CAM++, I was able to get CAM images of the original images.