mengkunzhao

Double-Branch-Dual-Attention-Mechanism-Network

This repository implementates 6 frameworks for hyperspectral image classification based on PyTorch and sklearn.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

batchEffectRemoval2020

BigEarthNet-Sen1

Pipelines for BigEarthNet-Sen1 creation.

Data_Augmentation_Zoo_for_Object_Detection

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

DPC-DLP

Dynamic Graph-Based Label Propagation for Density Peaks Clustering

DualStudent

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

GELM-AE-AL

The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".

HR-S2DML

codes for RS paper: High-Rankness Regularized Semi-supervised Deep Metric Learning for Remote Sensing Imagery

HyperGCN

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

IEEE_GRSL_EndNet

Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.

IEEE_TGRS_GCN

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

IEEE_TGRS_MDL-RS

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2020.

Learn-Vim

A book for learning the Vim editor the smart way.

Loss_ToolBox-PyTorch

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

mimicry

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-summary

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

pytorch_segmentation

Semantic segmentation models, datasets and losses implemented in PyTorch.

remote-sense-quickstart

SauMoCo

codes for TGRS paper: Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

SegLoss

A collection of loss functions for medical image segmentation

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

SemanticSoftSegmentation

Spectral segmentation described in Aksoy et al., "Semantic Soft Segmentation", ACM TOG (Proc. SIGGRAPH), 2018

semi-supervised_tensorflow2.0

This is an Tensorflow implementation of semi-supervised learning with the following methods: Pseudo-label, Pi_model, VAT, mean_teacher, Mixup, ICT and Mixmatch.

SubFus

SubFus is a remote sensing image classification technique Please cite the following paper Behnood Rasti, Pedram Ghamisi, Remote sensing image classification using subspace sensor fusion, Information Fusion, Volume 64, 2020, Pages 121-130, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2020.07.002.