GitHub topics: class-activation-maps

Repositories

jacobgil/pytorch-grad-cam

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

Language: Python - Size: 134 MB - Last synced at: about 6 hours ago - Pushed at: 16 days ago - Stars: 11,526 - Forks: 1,625

Imageomics/Finer-CAM

This is an official implementation for Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. [CVPR'25]

Language: Jupyter Notebook - Size: 5.52 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 31 - Forks: 3

flatironinstitute/DeepFRI

Deep functional residue identification

Language: Python - Size: 388 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 317 - Forks: 83

haofanwang/Score-CAM

Official implementation of Score-CAM in PyTorch

Language: Python - Size: 2.22 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 412 - Forks: 65

lmk123568/Paddle_Model_Analysis

【瑞士军刀般的工具】用最短的代码完成对模型的分析，包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等

Language: Python - Size: 1020 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 2

lartpang/awesome-class-activation-map

An awesome list of papers and tools about the class activation map (CAM) technology.

Size: 4.88 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

hfawaz/miccai18

Evaluating surgical skills from kinematic data using convolutional neural networks

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 13 days ago - Pushed at: over 6 years ago - Stars: 22 - Forks: 9

marvinbuss/ExplainableML-Vision

This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.

Language: Jupyter Notebook - Size: 52.4 MB - Last synced at: 17 days ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 5

sbelharbi/interpretable-fer-aus

Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues

Language: Python - Size: 17 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 1

alok-ai-lab/DeepInsight3D_pkg

DeepInsight3D package to deal with multi-omics or multi-layered data

Language: MATLAB - Size: 5.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 2

giovancombo/DeepLearningApps

A repo containing all the material from the Laboratory Sessions of the Deep Learning Applications course, held by Professor Andrew David Bagdanov (@bagdanov on GitHub) at the University of Florence, Italy.

Language: Python - Size: 657 MB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

gaurav104/WSS-CMER

Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf

Language: Python - Size: 656 KB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 3

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

Language: Jupyter Notebook - Size: 376 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 59 - Forks: 28

sumitbinnani/Novice-Vs-Expert-Deep-CNN

Size: 1.4 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

ezermoysis1/sma-detection-in-blood-samples

Detecting Severe Malaria Anaemia and investigating the morphological characteristics of red blood cells at its presenc

Language: Python - Size: 39.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mdhabibi/Transparent-Malaria-Detection-CNN-CAM-LIME

Enhanced CNN model for malaria cell classification featuring Class Activation Mapping (CAM) for anomaly localization and LIME for interpretability, ensuring high accuracy and transparent AI diagnostics.

Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

imatge-upc/retrieval-2017-cam

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Language: Python - Size: 18.3 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 223 - Forks: 60

yiping-wang/c2am

Causal Class Activation Map

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

bmezaris/TAME

Code and data for our learning-based eXplainable AI (XAI) method TAME: M. Ntrougkas, N. Gkalelis, V. Mezaris, "TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks", Proc. IEEE Int. Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.

Language: Python - Size: 161 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

doguilmak/Classify-Trees-from-Satellite-Imagery

Satellite photographs taken by the Sentinel-2 were classified with pre-trained ResNet-50 and VGG16 models. In addition made CAM model.

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

linkingmon/CNN-GAP

Special Project - CA classification (2019 Fall)

Language: Python - Size: 6.93 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

conan7882/CNN-Visualization

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

Language: Python - Size: 27 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 197 - Forks: 43

vraul92/Humerus-Bone-Fracture-Detection

A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, Convolutional Neural Networks (CNN), Auto-Encoders (AE) and Transfer Learning.

Language: Jupyter Notebook - Size: 8.68 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 3

PrathamLearnsToCode/Medical_Images_Pytorch

Computer Vision with PyTorch for Medical Image Analysis

Language: Jupyter Notebook - Size: 871 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kenanEkici/multilabel-class-pascalvoc

Building a multi-label classifier from scratch and using transfer learning for the PASCAL VOC image dataset.

Language: Jupyter Notebook - Size: 4.25 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

neouyghur/SESS

Saliency Enhancing with Scaling and Sliding

Language: Jupyter Notebook - Size: 7.42 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1

Nacriema/Neural-Network-Interpretation

Some Class Activation Map methods implemented in Pytorch for CNNs

Language: Python - Size: 26.2 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

vd-kuznetsov/CaUS_Visibility_Artifacts

Repository for the paper "Neural Networks for Classification and Unsupervised Segmentation of Visibility Artifacts on Monocular Camera Image"

Language: Jupyter Notebook - Size: 411 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

liuvince/mva-wsss

MVA Master School Project - Weakly Supervised Semantic Segmentation

Language: Jupyter Notebook - Size: 5.44 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

satyamahesh84/SIDU_XAI_CODE

Similarity Differences and Uniqueness Explainable AI method

Language: Python - Size: 4.56 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

alokwhitewolf/Class-Activation-Mappings 📦

Visualizing where the Convolution Network is looking through CAM.

Language: Python - Size: 90.5 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 20 - Forks: 1

yubin1219/Semantic-Seg-KD

Lightweight Neural Network for Semantic Segmentation using Knowledge Distillation

Language: Python - Size: 8.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

alinstein/X_RAY

Weakly supervised Classification and Localization of Chest X-ray images

Language: Python - Size: 71.9 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

OValery16/CNN-localization-

Tutorial to show how to extract object localization

Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

WJiangH/Class_Activation_Map

This work study the "Activation/Saliency Map" in image classification, which emphasize the regions in a image where model focus on to give the final predication result.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ychennay/attention-facial-recognition

Scripts that utilize class activation maps and self-attention layers within Keras models to classify faces from FEI Faces Dataset

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 1

nikhilraj1997/Lung-Disease-Detection-using-CT-Imaging

Computer tomography (CT) scans are one of the only ways to diagnose lung diseases. With the rise of lungrelated issues in recent times, it would be a boon if a system existed that would aid medical professionals to diagnose diseases from chest CT scans. This paper proposes to develop such a system in the form of two separate modules using basic image processing techniques and convolutional neural networks (CNN). The image processing module uses basic image processing to reduce computational complexity and produce excellent results, while the classification module is reliable while also training at an acceptable rate. Our proposed system predicts lung disease with an average accuracy of 98.11% which is on par with other methods that are far more complex and use significantly higher computational resources.

Language: Jupyter Notebook - Size: 8.76 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

tony-mtz/CAM

VGG transfer learning and Class Activation Mapping

Language: Jupyter Notebook - Size: 79.3 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 14 - Forks: 5

anirudhs123/Music-Instrument-Classification

In this project we use a Lightweight-CNN based model to classify instruments from the Freesound audio data set. We make use of Mel-Spectrogram features from the input audio data as the input to the CNN model. To add robustness to the model, we use a novel data augmentation technique based on the Cut-Mix algorithm.

Language: Jupyter Notebook - Size: 2.47 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

Related Keywords

class-activation-maps 48 deep-learning 21 cnn 13 convolutional-neural-networks 11 pytorch 11 explainable-ai 9 cam 9 computer-vision 7 grad-cam 7 keras 7 machine-learning 7 transfer-learning 5 visualization 5 heatmap 5 tensorflow 5 image-classification 5 classification 4 resnet-50 3 class-activation-map 3 saliency 3 gradient-free 3 gradcam 3 data-science 3 score-cam 3 weakly-supervised-learning 3 xai 3 medical-imaging 3 saliency-map 2 cnn-keras 2 python 2 weakly-supervised-segmentation 2 artificial-intelligence 2 lime 2 explainable-ml 2 cnn-classification 2 interpretability 2 visualizations 2 neural-networks 2 segmentation 2 vision-transformers 2 deep-neural-networks 2 cnn-visualization-technique 2 explainability 2 visual-explanations 2 resnet 2 vgg16 2 semantic-segmentation 2 multi-label-classifier 1 pytorchlightning 1 pascal-voc 1 pneumonia 1 tumor 1 classifier 1 nifti 1 preprocessing 1 lung 1 liver 1 dataset 1 research-paper 1 visual-instance-search 1 attention 1 average-drop 1 increase-in-confidence 1 neural-network 1 trainable-explanation-model 1 remote-sensing 1 satellite-imagery 1 atrial-fibrillation 1 convergence-analysis 1 ecg-signal 1 guided-backpropagation 1 tensorfl 1 artificial-neural-networks 1 transfer-learning-with-cnn 1 3d 1 atrium 1 cardiac 1 dicom 1 global-average-pooling 1 attention-mechanism 1 computer-tomograpy 1 image-processing 1 lung-disease-classifiers 1 csulb 1 vgg19 1 cutmix-augmentation 1 hyperparameter-tuning 1 mel-spectrogram 1 pruning 1 svhn 1 mxnet 1 network-visualization 1 r 1 matrices 1 weights 1 adversarial-example 1 machine-learning-algorithms 1 python3 1 tensorflow2 1 perturbations 1