212 skills found · Page 1 of 8
NVlabs / SegFormerOfficial PyTorch implementation of SegFormer
HRNet / HRNet Semantic SegmentationThe 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
VainF / DeepLabV3Plus PytorchPretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
mcordts / CityscapesScriptsREADME and scripts for the Cityscapes Dataset
SHI-Labs / OneFormer[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
CoinCheung / BiSeNetAdd bisenetv2. My implementation of BiSeNet
xiaoyufenfei / Efficient Segmentation NetworksLightweight 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.)
voldemortX / Pytorch Auto DrivePytorchAutoDrive: 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
sithu31296 / Semantic SegmentationSOTA Semantic Segmentation Models in PyTorch
fregu856 / Deeplabv3PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
ansleliu / LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
LikeLy-Journey / SegmenTronSupport 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)
tfzhou / ContrastiveSegICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
nianticlabs / Manydepth[CVPR 2021] Self-supervised depth estimation from short sequences
bowenc0221 / Panoptic DeeplabThis 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)
TuSimple / TuSimple DUCUnderstanding Convolution for Semantic Segmentation
VITA-Group / FasterSeg[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
lutangar / Cities.json:cityscape: Cities of the world in Json, based on GeoNames Gazetteer
wutianyiRosun / Segmentation.XPapers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
NVlabs / FANOfficial PyTorch implementation of Fully Attentional Networks
