activation-maps

There are 1 repository under activation-maps topic.

torch-cam
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)
activation-maps class-activation-map cnn deep-learning grad-cam gradcam gradcam-plus-plus interpretability interpretable-deep-learning python pytorch saliency-map score-cam smoothgrad
Language:Python 1934
BeautifulBeer / Frequency-Activation-Map
An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map
fault-diagnosis activation-maps frequency-activation-map pytorch colab-notebook
Language:Jupyter Notebook 12
daniel-rychlewski / Cao-Keras-Visualization
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
neural-network python band-selection hyperspectral-image-classification indianpines hyperspectral-imaging cao convolutional-neural-networks keras tensorflow keras-vis deep-viz deep-visualization saliency-maps activation-maps backpropagation integrated-gradients guided-backpropagation visual-backpropagation gradients
Language:Python 8
Snehal-Reddy / ILGNET-ActivationMaps
Inception Modules with Connected Local and Global Features implemented with CAM.
computer-vision aesthetic-visual-analysis inceptionv3 activation-maps deep-learning
Language:Python 4
pashu123 / What-CNNs-See
Filter Visualizations, Heatmaps and Salience Maps
cnn visualization intermediate-layer heatmap activation-maps
Language:Python 3
khawajatalhahaseeb / Class-Activation-Map-Keras
Class Activation Mapping
deep-learning keras-tensorflow python vgg16 activation-maps computer-vision digital-image-processing
Language:Jupyter Notebook 2
athanatos96 / CNN-and-Grad-CAM-for-Image-Classification
Paper Name: Utilizing Convolutional Neural Networks and Gradient-weighted Class Activation Mapping (Grad-CAM) for Dairy Cow Teat Image Classification. Testing the impact of CNN and Grad-CAM in the accuracy of dairy Cows Teat Imaga classification. Dataset and testing software from: https://github.com/YoushanZhang/SCTL
activation-maps artificial-intelligence bounding-boxes convolutional-neural-networks grad-cam image-classification machine-learning pytorch
Language:Jupyter Notebook 1
Clement-W / Activation-Maps-Visualiser-PT
Activation maps visualizer for PyTorch
python3 pytorch cnn activation-maps
Language:Python 1
rnsandeep / class_activation_mapping
Visualise Class activation mapping.
activation-maps inceptionv3
Language:Python 0
RobinMaas95 / GTSRB_Visualization
Analysis of visualization methods for relevant areas within images for a trained CNN. Used the GTSRB dataset as well as Activation Maximization, Saliency Map, GradCam, and Gradcam++ methods.
cnn gradcam gradcam-plus-plus saliency-map activation-maps
0
wx-b / SOLAR
PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020
activation-maps image-similarity visualization
Language:Python

activation-maps

frgfm / torch-cam

BeautifulBeer / Frequency-Activation-Map

daniel-rychlewski / Cao-Keras-Visualization

Snehal-Reddy / ILGNET-ActivationMaps

pashu123 / What-CNNs-See

khawajatalhahaseeb / Class-Activation-Map-Keras

athanatos96 / CNN-and-Grad-CAM-for-Image-Classification

Clement-W / Activation-Maps-Visualiser-PT

rnsandeep / class_activation_mapping

RobinMaas95 / GTSRB_Visualization

wx-b / SOLAR