760 Open source projects that are alternatives of or similar to semantic-segmentation

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

Official PyTorch implementation of SegFormer

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

PyTorch implementation of "Pyramid Scene Parsing Network".

Implementation details for EDANet

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

PSPNet in Chainer

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Code for https://arxiv.org/abs/1611.10080

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

You Only Look at One Sequence (NeurIPS 2021)

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

a collection of visualization function

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

AttaNet for real-time semantic segmentation.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

This repository contains the source code of our work on designing efficient CNNs for computer vision

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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

Pytorch code for semantic segmentation using ERFNet

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Understanding Convolution for Semantic Segmentation

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely

Fully Convolutional HarDNet for Segmentation in Pytorch

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

A collection of SOTA Image Classification Models in PyTorch

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

SwinIR: Image Restoration Using Swin Transformer (official repository)

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

pix2tex: Using a ViT to convert images of equations into LaTeX code.

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

JSON API transformer outputting valid (PSR-7) API Responses.