aiyeshi

a-change-detection-reality-check

Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.

AFGRL

The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

AND

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Awesome-Multi-Task-Learning

A list of multi-task learning papers and projects.

awesome-self-supervised-gnn

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

awesome-self-supervised-vision

Awesome Self-Supervised Vision Learning

awesome-semi-supervised-learning

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

aiyeshi/a-change-detection-reality-check

Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.

aiyeshi/awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

aiyeshi/Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

aiyeshi/Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

aiyeshi/awesome-self-supervised-gnn

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

aiyeshi/awesome-self-supervised-vision

Awesome Self-Supervised Vision Learning

aiyeshi/CDRL

:earth_asia:Official PyTorch implementation of "Unsupervised Change Detection Based on Image Reconstruction Loss", CVPRW 2022.

aiyeshi/CF-GCN

remote sensing image change detection network

aiyeshi/CLIP-Help-SimCLR

Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning

aiyeshi/DMSGer

Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification

aiyeshi/FactorCL

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

aiyeshi/FCCDN_pytorch

The pytorch implemention of FCCDN for change detection task

aiyeshi/FireCLR-Wildfires

Official code for 🔥 Unsupervised Wildfire Change Detection based on Contrastive Learning 🔥

aiyeshi/graph-papers

Graph, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes

aiyeshi/GraphACL

GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)

aiyeshi/Heterogeneous_CD

This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.

aiyeshi/HyperNet

Pytorch code of TGRS paper "HyperNet: Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection"

aiyeshi/ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

aiyeshi/MaskCD

[IEEE TGRS 2024]: The official PyTorch implementation of the paper "MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification"

aiyeshi/Matrix-SSL

Official implementation of paper "Matrix Information Theory for Self-supervised Learning" (https://arxiv.org/abs/2305.17326)

aiyeshi/MSVQ

MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues

aiyeshi/NN-4-change-detection

aiyeshi/openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

aiyeshi/Parametric-Contrastive-Learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

aiyeshi/POT-GCL

Source code of NeurIPS 2023 "Provable Training for Graph Contrastive Learning"

aiyeshi/RC-Change-Detection

Code for Paper < >

aiyeshi/S3Net_CD

Superpixel-Guided Self-Supervised Learning Network for Multitemporal Image Change Detection

aiyeshi/SCR

Contrastive Learning with Semantic Consistency Constraint

aiyeshi/techniques

Techniques for deep learning with satellite & aerial imagery

aiyeshi/Tiny_model_4_CD

Official implementation of TinyCD: A (Not So) Deep Learning Model For Change Detection