A Pytorch implementation of GradCAM[1], GradCAM++[2], and Smooth-GradCAM++ [3]

Supported torchvision models

• alexnet
• vgg
• resnet
• densenet
• squeezenet

Usage

please refer to example.ipynb for general usage and refer to documentations of each layer-finding functions in utils.py if you want to know how to set target_layer_name properly.

References:

[1] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, Selvaraju et al, ICCV, 2017
[2] Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks, Chattopadhyay et al, WACV, 2018 [3] Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models, Omeiza et al, 2019