76 Open Source Cityscapes Software Projects
Free and open source cityscapes code projects including engines, APIs, generators, and tools.
Hrnet Semantic Segmentation 2402 ⭐
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
Ansleliu Lightnet 704 ⭐
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Segmentation.x 466 ⭐
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Efficient Segmentation Networks 669 ⭐
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.)
Icnet Tensorflow 401 ⭐
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Segmentron 593 ⭐
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)
Fasterseg 478 ⭐
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Adaptis 324 ⭐
[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Edgenets 369 ⭐
This repository contains the source code of our work on designing efficient CNNs for computer vision
Panoptic Deeplab 461 ⭐
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)
Lightnetplusplus 226 ⭐
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Cgnet 207 ⭐
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Deeplabv3plus Pytorch 645 ⭐
DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes
Fastseg 261 ⭐
📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Decouplesegnets 295 ⭐
Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Robust Detection Benchmark 148 ⭐
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Nas Segm Pytorch 138 ⭐
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Seg Uncertainty 286 ⭐
IJCAI2020 & IJCV 2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
Deeplab V3 Plus Cityscapes 135 ⭐
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).
Bisenetv2 Tensorflow 174 ⭐
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Semantic Segmentation Tensorflow 83 ⭐
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
Ccnet Pure Pytorch 151 ⭐
Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Photographicimagesynthesiswithcascadedrefinementnetworks Pytorch 62 ⭐
Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation
Switchnorm_segmentation 48 ⭐
Switchable Normalization for semantic image segmentation and scene parsing.
Icnet Pytorch 83 ⭐
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
Dilation Pytorch Semantic Segmentation 34 ⭐
A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.
Soumik12345 Pix2pix 28 ⭐
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Pix2pix 34 ⭐
PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)
Pytorch Box2pix 19 ⭐
WIP implementation of "Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes"
Multiclass Semantic Segmentation 66 ⭐
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]
Learningimage To Imagetranslationusingpairedandunpairedtrainingsamples 17 ⭐
Learning image-to-image translation using paired and unpaired training samples
Denseshufflenet 10 ⭐
DenseShuffleNet for Semantic Segmentation using Caffe for Cityscapes and Mapillary Vistas Dataset
Segmentation.data 15 ⭐
Processing deep-learning datasets (i.e. coco, pascal voc, cityscapes, pascal context)
Contrastiveseg 372 ⭐
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Pytorch Auto Drive 174 ⭐
Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, PRNet, RESA, LSTR, BezierLaneNet...) based on PyTorch with mixed precision training
Dst Cbc 98 ⭐
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
Iast Eccv2020 84 ⭐
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Panoptic_parts 74 ⭐
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.
Lorenmt Reco 60 ⭐
The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
Cityscapes To Coco Conversion 24 ⭐
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
Da Retinanet 21 ⭐
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'
Asanet 16 ⭐
The code and trained models of: Affinity Space Adaptation for Semantic Segmentation Across Domains.
Semask Segmentation 87 ⭐
[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation.