PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
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Jan 21, 2020 - Python
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occlusion-sensitivity
Here are 10 public repositories matching this topic...
Pytorch implementation of various neural network interpretability methods
pytorch deepdream saliency-map occlusion-sensitivity smoothgrad guided-backpropagation interpretable-deep-learning lrp gradient-visualization interpretable gradcam deconvnet cnn-visualization deeplift integrated-gradients activation-maximization interpretability-methods uncertainty-interpretability taylor-decomposition nn-interpretability
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Mar 8, 2022 - Jupyter Notebook
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
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Nov 9, 2016 - Python
Visualizing and interpreting features of CNN model
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Jul 2, 2018 - Python
IO/NIO-Bildklassifikation für die industrielle Qualitätsprüfung mit PyTorch, Transfer Learning und Explainable AI (Integrated Gradients). Entwickelt im Rahmen einer Bachelorarbeit.
cnn pytorch transfer-learning saliency-map occlusion-sensitivity cnn-classification explainable-ai quality-inspection integrated-gradients
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Sep 13, 2026 - Python
A CNN model developed to observe and predict lung related chronic diseases at an early stage. ResNet-50 architecture is used to classify x-ray images and Occlusion Sensitivity Function is used to visualise the image with its affected areas.
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Apr 7, 2026 - Python
Explainable AI in Intrusion Detection
machine-learning machine-learning-algorithms python3 intrusion-detection random-forest-classifier explainable-artificial-intelligence occlusion-sensitivity explainable-ai explainable-ml explainable-machine-learning
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May 25, 2024 - Jupyter Notebook
Educational MICCAI tutorial on stress-testing saliency maps, shortcut learning, and trustworthy medical imaging AI.
tutorial jupyter-notebook pytorch medical-imaging saliency-map miccai occlusion-sensitivity smoothgrad explainable-ai xai gradcam integrated-gradients shortcut-learning clinical-ai trustworthy-ai medmnistv2
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May 19, 2026 - HTML
Deep learning pipeline for automatic classification of ERCP fluoroscopic images using CNN models, threshold tuning, ensemble learning, TTA and interpretability methods such as Grad-CAM and Occlusion Sensitivity.
computer-vision deep-learning grad-cam cnn pytorch medical-imaging image-classification ensemble-learning occlusion-sensitivity healthcare-ai
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May 31, 2026 - Jupyter Notebook
PyTorch comparison of MLP and CNN architectures for five-class blood-cell image classification, with feature maps, softmax error analysis, spatial robustness, and occlusion sensitivity.
python computer-vision deep-learning jupyter-notebook cnn pytorch image-classification mlp softmax occlusion-sensitivity blood-cells feature-maps
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Sep 15, 2026 - Jupyter Notebook
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