There are 0 repository under class-activation-map topic.
Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)
Time Series package for fastai v2
Wanna know what your model sees? Here's a package for applying EigenCAM on the new YOLO V8 model
The official code of Relevance-CAM
Class Activation Map (CAM) Visualizations in PyTorch.
Attention \ Saliency maps and features visualization for deep learning models in pytorch
PyTorch implementation of "Learning Deep Features for Discriminative Localization"
High Resolution Class Activation Mapping for Discriminative Feature Localization
Implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation (Fong, et. al., 2018)
Building models that can predict whether an area is at risk of a wildfire or not on satellite images.
An awesome list of papers and tools about the class activation map (CAM) technology.
An application of CAM (Class Activation Maps) of CNNs. Localizes the food.
Computer vision visualization such as Grad-CAM, etc.
Detection and localization of Asian hornets with a CNN using PyTorch
CAM algorithm implemented by python3 and pytorch 0.4.0
Explainable text classification
Through data, classification model was builded whether predicts if there is any crack or not on concrete with Class Activation Map.
Simple tf-keras code CAM (Class Activation Mapping)
Unofficial PyTorch implementation of Score-CAM with additional functions
Classification model was builded whether lemons have good quality, bad quality or have empty background with Class Activation Map.
Class Activation Map | Stanford Cars | PyTorch
Generates class activation maps for CNN's with Global Average Pooling Layer Keras