#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
Pytorch implementation of convolutional neural network visualization techniques
翻译 - 卷积神经网络可视化技术的Pytorch实现
#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)
#计算机科学#[ICCV 2017] Torch code for Grad-CAM
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Official implementation of Score-CAM in PyTorch
#计算机科学#Neural network visualization toolkit for tf.keras
tensorflow implementation of Grad-CAM (CNN visualization)
#计算机科学#A generalized gradient-based CNN visualization technique
InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
#计算机科学#TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Ten...
This repo contains Grad-CAM for 3D volumes.
#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
Visualizations for understanding the regressed wheel steering angle for self driving cars