Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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)

[ICCV 2017] Torch code for Grad-CAM

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

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...

An implementation of Grad-CAM with keras

Official implementation of Score-CAM in PyTorch

Neural network visualization toolkit for tf.keras

Generation of 3D/ 2D attention maps for both classification and segmentation

tensorflow implementation of Grad-CAM (CNN visualization)

A generalized gradient-based CNN visualization technique

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Implementation of Grad CAM in tensorflow

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

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

Tensorflow Slim Grad-Cam to Explain Neural Network Predictions with Heatmap or Shading

visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro

[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.

智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis

:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

CNN可视化代码，帮助了解建立GradCam过程， 代码中文注解

This repo contains Grad-CAM for 3D volumes.

EfficientNet-GradCam Visualization

Class Activation Map(CAM) with Pytorch

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

The re-implementation of Smooth Grad-CAM++ with pytorch

A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"