Alternatives and similar repositories for MeSAM

Users that are interested in MeSAM are comparing it to the libraries listed below

• Chen-Yang-Liu / RSCaMa
  [IEEE GRSL 2024 🔥] RSCaMa: Remote Sensing Image Change Captioning with State Space Model
  ☆79Updated 4 months ago
• zmoka-zht / CDMamba
  ☆96Updated 2 months ago
• Chief-byte / RSAM-Seg
  Code for RSAM-Seg
  ☆46Updated last year
• yoookoso / GCD
  diffusion-framework-for-change detection
  ☆52Updated last year
• StephenApX / UCD-SCM
  [IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings
  ☆69Updated last year
• xiaoyan07 / SAM_MLoRA
  ☆22Updated 8 months ago
• likyoo / DynamicEarth
  [AAAI 2026 Oral] DynamicEarth: How Far are We from Open-Vocabulary Change Detection?
  ☆107Updated last month
• LiShuo1001 / awesome-few-shot-segmentation-in-remote-sensing
  A curated list of few-shot segmentation / few shot semantic segmentation / few shot image segmentation in remote sensing imagery.
  ☆27Updated last year
• yecy749 / GSNet
  Code & Dataset repository for the paper "Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation"
  ☆84Updated 2 months ago
• ChenHongruixuan / ObjFormer
  [IEEE TGRS 2024] Learning Land-Cover Changes from Satellite and Map Data via Object-Guided Transformer
  ☆56Updated last year
• xypu98 / CWSAM
  ☆83Updated 2 years ago
• KyanChen / RSRefSeg
  This is the pytorch implement of the paper "RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models"
  ☆71Updated 6 months ago
• Junjue-Wang / DisasterM3
  [NeurIPS 2025] DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
  ☆99Updated 3 months ago
• WithoutOcean / FSVLM-A-Vision-Language-Model-for-Remote-Sensing-Farmland-Segmentation
  ☆39Updated 2 months ago
• KyanChen / Awesome-Referring-Remote-Sensing-Image-Segmentation
  Awesome Referring Remote Sensing Image Segmentation
  ☆30Updated 4 months ago
• ChengxiHAN / C2F-SemiCD-and-C2FNet
  ☆46Updated last year
• W-qp / MultiSenseSeg
  ☆28Updated 6 months ago
• Daisy-7 / Hi-UCD-S
  A dataset for deep learning based urban semantic chang detection.
  ☆44Updated 3 months ago
• Chen-Yang-Liu / Change-Agent
  [IEEE TGRS 2024 🔥] Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
  ☆175Updated 6 months ago
• likyoo / BAN
  The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"
  ☆100Updated last year
• whu-pzhang / ASANet
  ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classification
  ☆55Updated last year
• 1e12Leon / RemoteSAM
  [ACM MM 25] Official repo of "RemoteSAM: Towards Segment Anything for Earth Observation"
  ☆205Updated last month
• zhenghuizhao / Plug-and-Play-DISep-for-Change-Detection
  Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing I…
  ☆19Updated last month
• Shaosifan / FIANet
  [IEEE TGRS 2025] Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image Segmentation
  ☆33Updated 2 months ago
• JayParanjape / M-CD
  Code for M-CD
  ☆41Updated 10 months ago
• likyoo / SemiCD-VL
  The pytorch implementation for "SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector"
  ☆54Updated last year
• zhuduowang / Change3D
  [CVPR 2025 Highlight] Change3D: Revisiting Change Detection and Captioning from A Video Modeling Perspective.
  ☆68Updated 6 months ago
• Lans1ng / PointSAM
  [TGRS 2025] Code for "PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images"
  ☆62Updated 3 months ago
• Henryjiepanli / Uncertainty-aware-Network
  UANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images
  ☆91Updated last year
• ChenHongruixuan / SRGCAE
  [IEEE TGRS 2022] Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
  ☆45Updated last month