grad-cam
There are 128 repositories under grad-cam topic.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
frgfm/torch-cam
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)
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
kazuto1011/grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
yizt/Grad-CAM.pytorch
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...
jacobgil/keras-grad-cam
An implementation of Grad-CAM with keras
haofanwang/Score-CAM
Official implementation of Score-CAM in PyTorch
keisen/tf-keras-vis
Neural network visualization toolkit for tf.keras
insikk/Grad-CAM-tensorflow
tensorflow implementation of Grad-CAM (CNN visualization)
adityac94/Grad_CAM_plus_plus
A generalized gradient-based CNN visualization technique
Ankush96/grad-cam.tensorflow
Implementation of Grad CAM in tensorflow
PaddlePaddle/InterpretDL
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
ashutosh1919/explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
conan7882/CNN-Visualization
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
PINTO0309/Keras-OneClassAnomalyDetection
[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.
Cloud-CV/Grad-CAM
:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
fitushar/3D-Grad-CAM
This repo contains Grad-CAM for 3D volumes.
jacobgil/keras-steering-angle-visualizations
Visualizations for understanding the regressed wheel steering angle for self driving cars
armiro/COVID-CXNet
COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
ramprs/neuron-importance-zsl
[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
Karol-G/Gcam
Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.
HaebinShin/grad-cam-text
Implementation of Grad-CAM for text.
novice03/timm-vis
Visualizer for PyTorch image models
TooTouch/WhiteBox-Part1
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
shinmura0/Faster-Grad-CAM
Faster and more precisely than Grad-CAM
UMBCvision/fooling_network_interpretation
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
daixiangzi/Grad_Cam-pytorch-resnet50
Class activate map
tsurumeso/chainer-grad-cam
Chainer implementation of Grad-CAM
cydonia999/Grad-CAM-in-TensorFlow
Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
gaurav104/WSS-CMER
Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
RuoyuChen10/FaceTechnologyTool
About face technology
zalkikar/BBOX_GradCAM
Boundary box creation using a GradCAM heat-map from a pre-trained image classification model.
lucasdavid/keras-explainable
Efficient explaining AI algorithms for Keras models
matheushent/covid-19-detector
Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19
hummat/saliency
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.