drenego's Stars
jiwoon-ahn/irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
dongyuwei/hallelujahIM
hallelujahIM(哈利路亚 英文输入法) is an intelligent English input method with auto-suggestions and spell check features.
scheckley/texstudio_monokai
texstudio monokai
emanuelmutschlechner/texstudio-darcula-theme
listen1/listen1
one for all free music in china (origin edition)
Larry955/Latex-Paper-Templates
Latex-format paper templates, including Elsevier, arXiv and IEEE Access.
WarBean/tps_stn_pytorch
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
moskomule/senet.pytorch
PyTorch implementation of SENet
andreasveit/densenet-pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
bamos/densenet.pytorch
A PyTorch implementation of DenseNet.
hysts/pytorch_wrn
A PyTorch implementation of WRN
katsura-jp/efficientnet-pytorch
PyTorch implementation of "EfficientNet", ICML 2019
linkyeu/efficientnet_pytorch
EfficientNet B0-B7 implemented in convinient way with .features and .classifier layers with pretrained on ImageNet weights.
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
pochih/FCN-pytorch
🚘 Easiest Fully Convolutional Networks
akolesnikoff/SEC
Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
penny4860/cnn-visualizer
Visualization of the filters of VGG16, via gradient ascent in input space.
bodokaiser/piwise
Pixel-wise segmentation on VOC2012 dataset using pytorch.
CoinCheung/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).
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
HRNet/HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
stefanopini/simple-HRNet
Multi-person Human Pose Estimation with HRNet in Pytorch
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
nearthlab/image-segmentation
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
roytseng-tw/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset