#计算机科学#Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
翻译 - 在Pytorch中为CNN和视觉变压器实现了许多类激活图方法。包括Grad-CAM,Grad-CAM ++,Score-CAM,Ablation-CAM和XGrad-CAM
#计算机科学#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)
Official implementation of Score-CAM in PyTorch
#计算机科学#Neural network visualization toolkit for tf.keras
#计算机科学#Efficient explaining AI algorithms for Keras models
PyTorch implementation of various CAM (Class Activation Mapping) models using TorchVision pre-trained CNN Classifiers.
This repo shows a MATLAB implementation of score-CAM (Wang et al., CVPR workshop, 2020). This method is the first gradient-free CAM-based visualization method for explaining CNN decision.
#计算机科学#Repository containing code to run Score-CAM algorithm available on https://arxiv.org/pdf/1910.01279v1.pdf.
Visualizing 3D ResNet for Medical Image Classification With Score-CAM
#计算机科学#Advanced AI Explainability for computer vision.All the non Gradient Methods.
X-Brain: Explainable Automated Recognition of Brain Tumors using Robust Deep Attention CNN