Awesome
A Simple pytorch implementation of GradCAM[1], and GradCAM++[2]
<br> <p align="center"> <img src=assets/readme.png> </p>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 <br> [2] Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks, Chattopadhyay et al, WACV, 2018