The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

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

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

VMamba: Visual State Space Models，code is based on mamba

DeepLab v3+ model in PyTorch. Support different backbones.

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Add bisenetv2. My implementation of BiSeNet

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

This is the official repository for our recent work: PIDNet

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

[CVPR 2024] Deformable Convolution v4

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>

Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"

Official MegEngine implementation of RepLKNet

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

[CVPR 2025] SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation

CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation

a novel real-time model in semantic segmentation

mxnet source code for the resuneta semantic segmentation models