Stars
List of datasets, codes, and contests related to remote sensing semantic change detection
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"
A reliable building footprints change extraction network based on historical map and up-to-date images
This dataset is specifically designed for fine-tuning the VFMs. The dataset contains 42,000 images with varying dimensions (256×256, 200×200, and 400×400 pixels) and resolutions ranging from 0.3 me…
SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
Reference PyTorch implementation and models for DINOv3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
[CVPR 2025 Oral] SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
[AAAI 2026 Oral] DynamicEarth: How Far are We from Open-Vocabulary Change Detection?
[IEEE TGRS 2025] Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
[IEEE TGRS 2024] Learning Land-Cover Changes from Satellite and Map Data via Object-Guided Transformer
Cross-Modal Change Detection Using Historical Land Use Base Maps and Current Remote Sensing Images
The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"
[ICME2024 Oral, JSTARS2025] Change detection of remote sensing images
torchange - A Unified Change Representation Learning Benchmark Library
An open source implementation of CLIP.
SARCLIP: A Multimodal Foundation Framework for SAR Imagery via Contrastive Language-Image Pre-Training
[ESSD 2025 & IEEE GRSS DFC 2025] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response
✨✨Latest Advances on Multimodal Large Language Models
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …