bianxiaodu

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

Remote-Sensing-in-CVPR2024

Papers related to remote sensing in CVPR 2024

awesome-cbir-papers

📝Awesome and classical image retrieval papers

DOLG-pytorch

Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

HyperSIGMA

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

NAGphormer

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Graphormer

Hyperspectral-Image-Classification-Models

收录及复现的高光谱遥感图像分类模型

UM2L

Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification

SSGA

The code of paper "Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification"

FG-SuULDA

The code of the paper "Flexible Gabor-based Superpixel-level Unsupervised LDA for Hyperspectral Image Classification".

Unsupervised-hyperspectral-image-classification

Hyperspectral-Image

A Comparison of Supervised and Unsupervised Dimension Reduction Methods for Hyperspectral Image Classification.

ContrastNet-Unsupervised-Feature-Learning-by-Autoencoder-and-Prototypical-Contrastive-Learning

Hyperspectral Classification

3DCAE-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

DMVL

Deep Multiview Learning for Hyperspectral Image Classification

hyperspectral-autoencoders

Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.

paper-reading

深度学习经典、新论文逐段精读

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

SSL-for-HSI-classification

Code for a paper accepted by TGRS

GCAN

Graph-context Attention Networks for Size-varied Deep Graph Matching

InfoGraph

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

google-research

Google Research

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

CAGNN

graph-pooling-papers

IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)

MVPool

Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)

awesome-gnn

A list for GNNs and related works.