gengxiaomeng,github

Segmentation models with pretrained backbones. PyTorch.

There is the semi-supervised implement of 'Improved Techniques for Training GANs '

Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation

A semi supervised GAN for image classification implemented in Pytorch

MATLAB utilities for Sentinel-1 Level 1 datasets

Thermal noise subtraction, scalloping correction, angular correction

GF3 SS模式船只识别，使用卷积神经网络

Ship detection and localization from satellite images

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

PyTorch for classification《 Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》

A simple Spatial Pyramid Pooling layer which could be added in CNN

Single Shot MultiBox Detector in TensorFlow

A PyTorch Implementation of Single Shot MultiBox Detector

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Link between Matlab and Doris 5.0 to compute the S1-A/B interferograms

SCAN: Learning to Classify Images without Labels (ECCV 2020)

Weakly supervised object detection

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