class-activation-maps

I implemented a detection algorithm with a classification data set that does not have annotation information for the bounding box. Based on resnet50 network, I implemented text detector using class activation mapping method.

keras svhn class-activation-maps

Updated Jan 29, 2018
Python

alokwhitewolf / Class-Activation-Mappings

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Visualizing where the Convolution Network is looking through CAM.

visualization deep-neural-networks deep-learning resnet convolutional-neural-networks resnet-50 class-activation-maps

Updated Jun 3, 2018
Python

xup6fup / MxNetR-Class-Activation-Mapping

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This project propose a simple example to expose the implicit attention of Convolutional Neural Networks on the image.

r mxnet convolutional-neural-networks network-visualization weakly-supervised-learning class-activation-maps

Updated Dec 28, 2017
R

tony-mtz / CAM

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VGG transfer learning and Class Activation Mapping

deep-learning pytorch transfer-learning vgg19 class-activation-maps csulb

Updated Apr 6, 2019
Jupyter Notebook

hfawaz / miccai18

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Evaluating surgical skills from kinematic data using convolutional neural networks

data-science deep-learning cnn research-paper cnn-keras surgery surgical class-activation-maps time-series-classification

Updated Nov 10, 2018
Jupyter Notebook

armiro / COVID-CXNet

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

visualization machine-learning deep-learning tensorflow heatmap keras grad-cam classification convolutional-neural-networks medical-image-processing class-activation-maps chest-xray chexnet pneumonia-detection disease-detection covid-19 coronavirus-dataset covid-dataset

Updated Aug 19, 2020
Jupyter Notebook

flatironinstitute / DeepFRI

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Deep functional residue identification

machine-learning deep-learning tensorflow protein-data-bank gene-ontology graph-convolutional-networks class-activation-maps

Updated Aug 18, 2020
Python

ychennay / attention-facial-recognition

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

data-science keras image-classification attention-mechanism class-activation-maps

Updated Sep 4, 2019
Jupyter Notebook

saadhaxxan / Visualizing-Class-Activation-Maps-for-CNN

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Visualizing Class Activation Maps for Convolutional Neural Networks

visualization matrices convolutional-neural-networks transfer-learning weights resnet-50 class-activation-maps

Updated Apr 26, 2020
Jupyter Notebook

OValery16 / CNN-localization-

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Tutorial to show how to extract object localization

cnn class-activation-maps global-average-pooling cnn-localization

Updated Nov 4, 2018
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sumitbinnani / Novice-Vs-Expert-Deep-CNN

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cnn pytorch class-activation-maps cnn-for-visual-recognition pytorch-transfer-learning pytorch-cam

Updated May 5, 2018

yurayli / nn-visualization

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saliency map, adversarial image, (gradient) class activation map

grad-cam saliency-map class-activation-maps adversarial-example

Updated Oct 4, 2019
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matheushent / score-cam

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Repository containing code to run Score-CAM algorithm available on https://arxiv.org/pdf/1910.01279v1.pdf.

computer-vision deep-learning tensorflow machine-learning-algorithms keras cnn python3 neural-networks convolutional-neural-networks class-activation-maps gradient-free tensorflow2 score-cam

Updated Jun 21, 2020
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TanyaChutani / Class-Activation-Maps-Keras

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Generates class activation maps for CNN's with Global Average Pooling Layer Keras

visualization deep-learning tensorflow keras cnn cam class-activation-maps class-activation-map

Updated Jan 16, 2020
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vraul92 / Humerus-Bone-Fracture-Detection

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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.

python computer-vision deep-learning artificial-neural-networks convolutional-neural-networks class-activation-maps transfer-learning-with-cnn

Updated Jun 2, 2020
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marvinbuss / ExplainableML-Vision

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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.

data-science machine-learning notebook pytorch transfer-learning cam lime class-activation-maps explainable-ai explainable-ml shap explainable-deepneuralnetwork hymenoptera-dataset

Updated Sep 5, 2019
Jupyter Notebook

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