Popular GitHub Repositories for Cityscapes

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Add bisenetv2. My implementation of BiSeNet

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

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

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

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

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

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

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

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

[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

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

This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

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

Neural Distributed Image Compression using Common Information (NDIC) [DCC 2022]

RankSEG: A consistent ranking-based framework for segmentation

Learning image-to-image translation using paired and unpaired training samples

ACM MM 2023: Improving semi-supervised semantic segmentation with dual-level Siamese structure network

[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.

Image Segmentation on 3 popular datasets using Unet and DeepLab model