Popular GitHub Repositories for Grad Cam

Pytorch implementation of convolutional neural network visualization techniques

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

tensorflow implementation of Grad-CAM (CNN visualization)

A generalized gradient-based CNN visualization technique

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

This repo contains Grad-CAM for 3D volumes.

Implementation of Grad-CAM for text.

Faster and more precisely than Grad-CAM

Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification

About face technology

GiMeFive: Towards Interpretable Facial Emotion Classification ?????? (PyTorch Implementation)

This repo shows how to classify crack images and discuss the result with grad-cam

saliency map, adversarial image, (gradient) class activation map

This repository is the code basis for the paper titled "Balancing Privacy and Explainability in Federated Learning"

classify images as AI-generated art or Real art using a fine-tuned MobileNetV2 model. The model utilizes transfer learning to achieve high accuracy and interpretability through Grad-CAM visualizations

Improvising adversarial attack against prediction of neural network

Deep learning example for Vision

Research on AutoML and Explainability．