#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
Official implementation of Score-CAM in PyTorch
#计算机科学#Deep functional residue identification
#计算机科学#Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
#计算机科学#TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Class Activation Map using Keras
#计算机科学#COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
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 ac...
#计算机科学#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 SHaple...
#计算机科学#Evaluating surgical skills from kinematic data using convolutional neural networks
#计算机科学#Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/2104.02488.pdf
#计算机科学#Visualizing where the Convolution Network is looking through CAM.
【瑞士军刀般的工具】用最短的代码完成对模型的分析，包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等
#计算机科学#VGG transfer learning and Class Activation Mapping
#计算机科学#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, Convolutiona...
This project propose a simple example to expose the implicit attention of Convolutional Neural Networks on the image.
Scripts that utilize class activation maps and self-attention layers within Keras models to classify faces from FEI Faces Dataset
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
Weakly supervised Classification and Localization of Chest X-ray images
#Awesome#An awesome list of papers and tools about the class activation map (CAM) technology.