PyTorch implementation of SmoothGrad: removing noise by adding noise.

Last update: Jan 05, 2023

Overview

SmoothGrad implementation in PyTorch

PyTorch implementation of SmoothGrad: removing noise by adding noise.

Vanilla Gradients	SmoothGrad	Guided backpropagation	Guided SmoothGrad

And other techniques such as the following are implemented.

Download

git clone https://github.com/pkdn/pytorch-smoothgrad

Usage

Save the saliency maps using VanillaGrad, GuidedBackpropGrad, SmoothGrad, GuidedBackpropSmoothGrad.

python saliency.py --img

Save the Grad-CAM image.

python grad_cam.py --img

If you do not specify an image path, read the raccoon's data (scipy.misc.face()).

Requirements

PyTorch
torch-vision
numpy
scipy
OpenCV

Environment under Python 3.5.2 is tested.

Acknowledgments

This code is insipired by pytorch-grad-cam.

Owner

SSKH

GitHub Repository

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PyTorch implementation of SmoothGrad: removing noise by adding noise.

Related tags

Overview

SmoothGrad implementation in PyTorch

Download

Usage

Requirements

Acknowledgments

Owner

SSKH

Official implementation of the Implicit Behavioral Cloning (IBC) algorithm

Neural Tangent Generalization Attacks (NTGA)

Self-supervised Label Augmentation via Input Transformations (ICML 2020)

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