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Top 55 cityscapes open source projects

Decouplesegnets
Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Lightnetplusplus
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Seg Uncertainty
IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Fastseg
📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Cgnet
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Hrnet 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
Fchardnet
Fully Convolutional HarDNet for Segmentation in Pytorch
Bisenetv2 Tensorflow
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Contrastiveseg
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Robust Detection Benchmark
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Nas Segm Pytorch
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Ccnet Pure Pytorch
Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Deeplab V3 Plus Cityscapes
mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
Dabnet
Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
City Scapes Script
Download City Scapes Dataset using this script
Switchnorm segmentation
Switchable Normalization for semantic image segmentation and scene parsing.
Pytorch Auto Drive
Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
Lightnet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Bisenet
Add bisenetv2. My implementation of BiSeNet
Efficient Segmentation Networks
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.)
Segmentron
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
Segmentation.x
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Fasterseg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Icnet Tensorflow
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Panoptic Deeplab
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)
Deeplabv3plus Pytorch
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
Ademxapp
Code for https://arxiv.org/abs/1611.10080
Edgenets
This repository contains the source code of our work on designing efficient CNNs for computer vision
Adaptis
[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Pspnet Tensorflow
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
Erfnet pytorch
Pytorch code for semantic segmentation using ERFNet
DST-CBC
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
panoptic parts
This repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.
Pytorch-ENet-Nice
Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely
pix2pix
PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)
Dilation-Pytorch-Semantic-Segmentation
A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
semantic-segmentation-tensorflow
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
DA-RetinaNet
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
SegFormer
Official PyTorch implementation of SegFormer
IAST-ECCV2020
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Pix2Pix
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
cityscapes-to-coco-conversion
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
MetalCity
MetalCity - a procedural night city landscape generator
1-55 of 55 cityscapes projects