CAM, Grad-CAM, Grad-CAM++ and Guided Backpropagation post-hoc explanation methods
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Updated
Apr 30, 2024 - Jupyter Notebook
CAM, Grad-CAM, Grad-CAM++ and Guided Backpropagation post-hoc explanation methods
Unofficial Pytorch implementation of guided backpropagation
Suite of methods that create attribution maps from image classification models.
Computer vision visualization such as Grad-CAM, etc.
AI for COVID-19
Part of the experiments in "A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations"
Use your classification neural network for object detection and localization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.
Implementation of Guided GradCAM in Keras
Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream
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++.
visualization:filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Madras taught my advisor Prof.Mitesh Khapra.
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
Pytorch implementation of various neural network interpretability methods
📦 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
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