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.)

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

This is the official repository for our recent work: PIDNet

CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

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

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Panoramic Annular Semantic Segmentation

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

ERF-PSPNET implemented by tensorflow

First implementation of PIDNet in Tensorflow/Keras.

Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation

Official implementation of TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing (MIDL 2022)

BiSeNetV2 implementation in TensorFlow 2.0

Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation

Detail-Sensitive Panoramic Annular Semantic Segmentation

DSANet: Dilated Spatial Attention for Real-time Semantic Segmentation in Urban Street Scenes

Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)

Oil Pollution Dataset and PIDNet