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.)

This is the official repository for our recent work: PIDNet

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

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

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

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

First implementation of PIDNet in Tensorflow/Keras.

Official Repository for BEVANet: Bilateral Efficient Visual Attention Network for Real-time Semantic Segmentation (ICIP 2025 Spotlight Oral)

BiSeNetV2 implementation in TensorFlow 2.0

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

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

Detail-Sensitive Panoramic Annular Semantic Segmentation

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

根系表型实时检测软件系统

Oil Pollution Dataset and PIDNet

No description provided.

Improved PIDNet for real-time semantic segmentation. Work in progress.

Image Segmentation Paper Review and Implementation

Implement a model of real-time semantic segmentation for autonomous driving

:basketball: BasketballDetector implementation using a segmentation approach

[ICIP2022] Entropy guided feature extraction for real time semantic segmentation

Project for the Advanced Machine Learning course 23/24 - Politecnico di Torino

Project for "Advanced Machine Learning" course at PoliTO. The purpose is to implement a BiSeNet able to perform real-time semantic segmentation task

This work explores adversarial domain adaptation to enhance real-time neural networks for semantic segmentation, specifically addressing the challenges of domain shift from synthetic to real-world environments.