plkujgn Goto Github PK

annotation-free-fewshot

[MICCAI 2023] Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach

awesome-remote-sensing-foundation-models

awesome-remote-sensing-vision-language-models

Awesome-Remote-Sensing-Vision-Language-Models

awesome-rsvlm

Collection of Remote Sensing Vision-Language Models

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-self-supervised-learning-for-remote-sensing

List of reference,algorithms, applications in SSL in RS (contribution are welcome)

awesome-semi-supervised-semantic-segmentation

A summary of recent semi-supervised semantic segmentation methods

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

domain-adaptable-self-supervised-representation-learning-on-remote-sensing-satellite-imagery

dpcl

Domain Generalization Semantic Segmentation

freestylenet

[CVPR 2023 Highlight] Freestyle Layout-to-Image Synthesis

g-rsim

geoseg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

geossl

🌍 Code accompanying the article "Self-Supervised Learning for Scene Classification in Remote Sensing: current State of the Art and Perspectives"

gfda-disentangled

Code for MICCAI 2023 paper titled "Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning"

jl-yang_cv

lsst

The official PyTorch implementation of our paper (Simple and Efficient: A Semisupervised Learning Framework for Remote Sensing Image Semantic Segmentation) Accepted by TGRS2022

map-sat

ControlEarth. Generate your own satellite images conditioned on maps.

official-cmid

The official implementation of paper "Unified Self-Supervised Learning Framework for Remote Sensing Images".

openmixup

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

paper-reading-group

patchcl-medseg

pipa

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

pytorch-ssl-building_extract

The task of building semantic segmentation based on self-supervision is mainly implemented on Google image, and the resolution of remote sensing image is 1m.

pytorch_self_supervised_learning

This repository implements a framework to perform semantic segmentation of polarimetric SAR images, coming form Sentinel satellites, using a self supervised technique. The self-supervision is achieved transcoding SAR to optical images.

remoteclip

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing"

remoteglm

用于遥感图像场景分析的中文多模态大模型 | Chinese multimodal large-scale model for remote sensing image scene analysis

remotenet

RemoteNet: Remote Sensing Image Segmentation Network based on Global-Local Information