PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Implementation for our WACV 2021 paper "Multi-Loss Weighting with Coefficient of Variations"

Weakly Supervised Object Localization Papers

Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

Official implementation of Rethinking Class Activation Mapping for Weakly Supervised Object Localization (ECCV 2020)

Class Activation Mapping

北航毕设论文LaTeX模板

北航研究生学位论文模板（Word+LaTeX）.

95.47% on CIFAR10 with PyTorch

A generalized gradient-based CNN visualization technique

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…

Detect model's attention

COVID-19 Detection Using Chest X-Ray

Pytorch implementation of convolutional neural network visualization techniques

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

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)

some old code that i wrote, might be useful to others

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

一键解决知乎导入Markdown文件时图片和公式等问题。

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

RepVGG: Making VGG-style ConvNets Great Again

A treasure chest for visual classification and recognition powered by PaddlePaddle