CVNets: A library for training computer vision networks

An Extensible Deep Learning Library

带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

UPSNet: A Unified Panoptic Segmentation Network

A curated list of awesome papers on dataset distillation and related applications.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"

deep learning for image processing including classification and object-detection etc.

Image-to-Image Translation in PyTorch

⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

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

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

CVPR 2024 论文和开源项目合集

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

This Repository is implementation of majority of Semantic Segmentation Loss Functions

Semantic Segmentation in Pytorch