Topic: cityscapes Goto Github
Some thing interesting about cityscapes
Some thing interesting about cityscapes
cityscapes,Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Organization: bethgelab
Home Page: https://arxiv.org/abs/1907.07484
cityscapes,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)
User: bowenc0221
cityscapes,[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
User: brandleyzhou
cityscapes,Download City Scapes Dataset using this script
User: cemsaz
cityscapes,Add bisenetv2. My implementation of BiSeNet
User: coincheung
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).
User: coincheung
cityscapes,Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
User: drsleep
cityscapes,📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
User: ekzhang
cityscapes,Pytorch code for semantic segmentation using ERFNet
User: eromera
cityscapes,Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
User: gasparian
cityscapes,[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
User: haochen-wang409
cityscapes,TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
User: hellochick
cityscapes,TensorFlow-based implementation of "Pyramid Scene Parsing Network".
User: hellochick
cityscapes,Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
User: hellochick
cityscapes,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
Organization: hrnet
cityscapes,Code for https://arxiv.org/abs/1611.10080
User: itijyou
cityscapes,Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
User: junlinhan
cityscapes,Tensorflow 2.3.0 implementation of DeepLabV3-Plus
Organization: lattice-ai
Home Page: https://keras.io/examples/vision/deeplabv3_plus/
cityscapes,IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
User: layumi
Home Page: https://arxiv.org/abs/1912.11164
cityscapes,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)
User: likely-journey
cityscapes,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.
User: liminn
cityscapes,LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Organization: linksense
Home Page: https://ansleliu.github.io/LightNet.html
cityscapes,LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Organization: linksense
Home Page: https://ansleliu.github.io/LightNet.html
cityscapes,The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
User: lorenmt
Home Page: https://shikun.io/projects/regional-contrast
cityscapes,[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
User: lxtgh
cityscapes,Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
User: maybeshewill-cv
Home Page: https://maybeshewill-cv.github.io/bisenetv2-tensorflow/
cityscapes,[CVPR 2021] Self-supervised depth estimation from short sequences
Organization: nianticlabs
cityscapes,Official PyTorch implementation of Fully Attentional Networks
Organization: nvlabs
Home Page: https://arxiv.org/abs/2204.12451
cityscapes,Official PyTorch implementation of SegFormer
Organization: nvlabs
Home Page: https://arxiv.org/abs/2105.15203
cityscapes,[NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
Organization: picsart-ai-research
Home Page: https://arxiv.org/abs/2112.12782
cityscapes,Fully Convolutional HarDNet for Segmentation in Pytorch
User: pingolh
cityscapes,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.
User: pmeletis
Home Page: https://panoptic-parts.readthedocs.io/en/stable
cityscapes,Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
User: prismformore
cityscapes,Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
User: reagan1311
Home Page: https://github.com/Reagan1311/DABNet
cityscapes,This repository contains the source code of our work on designing efficient CNNs for computer vision
User: sacmehta
cityscapes,[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Organization: samsunglabs
cityscapes,Criss-Cross Attention (2d&3d) for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
User: serge-weihao
cityscapes,OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Organization: shi-labs
Home Page: https://praeclarumjj3.github.io/oneformer
cityscapes,SOTA Semantic Segmentation Models in PyTorch
User: sithu31296
cityscapes,ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
User: tfzhou
cityscapes,[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
User: tianyu0207
cityscapes,Understanding Convolution for Semantic Segmentation
Organization: tusimple
Home Page: https://arxiv.org/abs/1702.08502
cityscapes,Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
User: vainf
cityscapes,[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Organization: vita-group
cityscapes,Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
User: voldemortx
cityscapes,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
User: voldemortx
cityscapes,CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
User: wutianyirosun
cityscapes,Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
User: wutianyirosun
cityscapes,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.)
User: xiaoyufenfei
cityscapes,PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.
User: zh320
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