little5570

little5570's Stars

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k2141811.8k

• HRNet/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

  Language:Python3.2k57266691

• Tramac/awesome-semantic-segmentation-pytorch

  Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

  Language:Python2.9k42203584

• fyu/drn

  Dilated Residual Networks

  Language:Python1.1k2054219

• jiweibo/ImageNet

  This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

  Language:Python39671181

• Tramac/Fast-SCNN-pytorch

  A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

  Language:Python380105293

• lxtGH/Fast_Seg

  This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

  Language:Python208132236

• msyim/VGG16

  A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer

  Language:Python1791461

• tahaemara/LiteSeg

  Pytorch implementation for LiteSeg

  Language:Python867326

• feinanshan/FANet

  Language:Python523125

• lih627/CamVid

  CamVid original data set, and the generated 11 category labels and training grayscale images.

  Language:Python28303

• f1recracker/pytorch-deeplab-v3-plus

  Pytorch implementation of DeepLab V3+

  Language:Python13211

• haritsahm/pytorch-DMANet

  Deep Multi-Branch Aggregation Network for Semantic Segmentation in PyTorch

  Language:Python5320

• sarojit2018/Shadow-Segmentation

  Using the publicly available SBU Dataset, a training pipeline for semantic shadow segmentation . This can be used for identifying and removing shadow regions from images for image quality improvement.

  Language:Python411