xchouzhang

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Deep-Learning-Interview-Book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

CCNet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

BiSeNet

Add bisenetv2. My implementation of BiSeNet

PyTorch-CycleGAN

A clean and readable Pytorch implementation of CycleGAN

SETR

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

GSCNN

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

pspnet-pytorch

PyTorch implementation of PSPNet segmentation network

Segmentation-Pytorch

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

ResUnet

Pytorch implementation of ResUnet and ResUnet ++

EPSANet

SA-Net

Code for our ICASSP 2021 paper: SA-Net: Shuffle Attention for Deep Convolutional Neural Networks

SETR-pytorch

Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.

road_building_extraction

Using Pytorch implementation of U-Net architecture for road and building extraction

resuneta

mxnet source code for the resuneta semantic segmentation models

PyTorch-Darknet53

PyTorch implementation of Darknet53

Learning-Statistical-Texture-for-Semantic-Segmentation

Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"

dfn_seg

Implementation of Paper Learning a Discriminative Feature Network for Semantic Segmentation (CVPR2018)(face++)

StructSeg2019

SE-ResUnet

SARSeg

Pytorch Codes for the paper 'MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images'

rssrai2019_semantic_segmentation

2019年遥感图像稀疏表征与智能分析竞赛-语义分割组

MECNet

The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly for complicated and challenging water-body samples.

unsupervised-domain-adaptation-gan

Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

FDANet

This is a reporitory for releasing a novel DA method for high-resolution remote sensing image!