mlsanityData to 7 Oct 2026

Open-CD: A Comprehensive Toolbox for Change Detection

arXiv 2407.15317 ↗First posted 22 Jul 2024cs.CVcited by 11

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Abstract (arXiv)

We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules. The toolbox started from a series of open source general vision task tools, including OpenMMLab Toolkits, PyTorch Image Models, etc. It gradually evolves into a unified platform that covers many popular change detection methods and contemporary modules. It not only includes training and inference codes, but also provides some useful scripts for data analysis. We believe this toolbox is by far the most complete change detection toolbox. In this report, we introduce the various features, supported methods and applications of Open-CD. In addition, we also conduct a benchmarking study on different methods and components. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new change detectors. Code and models are available at https://github.com/likyoo/open-cd. Pioneeringly, this report also includes brief descriptions of the algorithms supported in Open-CD, mainly contributed by their authors. We sincerely encourage researchers in this field to participate in this project and work together to create a more open community. This toolkit and report will be kept updated.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 20 of its 42 references that are in the map. First posted on arXiv 22 Jul 2024.

Builds on

20 of 42 references.

References · 20

  1. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  2. 2019MMDetection: Open MMLab Detection Toolbox and Benchmarkcited by 1,379
  3. 2018Fully Convolutional Siamese Networks for Change Detectioncited by 305
  4. 2021Remote Sensing Image Change Detection with Transformerscited by 305
  5. 2022A Transformer-Based Siamese Network for Change Detectioncited by 243
  6. 2022Changer: Feature Interaction is What You Need for Change Detectioncited by 78
  7. 2021S2Looking: A Satellite Side-Looking Dataset for Building Change Detectioncited by 77
  8. 2024MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretrainingcited by 66
  9. 2021Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagerycited by 64
  10. 2023A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detectioncited by 47
  11. 2024Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Modelcited by 37
  12. 2022TINYCD: A (Not So) Deep Learning Model For Change Detectioncited by 35
8 more
  1. 2020Semantic Change Detection with Asymmetric Siamese Networkscited by 31
  2. 2024HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Imagescited by 30
  3. 2024Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagerycited by 30
  4. 2023Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detectioncited by 26
  5. 2023Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Processcited by 22
  6. 2023Detecting Building Changes with Off-Nadir Aerial Imagescited by 16
  7. 2024ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Modelcited by 8
  8. 2024Single-Temporal Supervised Learning for Universal Remote Sensing Change Detectioncited by 8

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 7; 2026: 3.

11 papers.

  1. 2025DynamicEarth: How Far are We from Open-Vocabulary Change Detection?cited by 21
  2. 20243DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangementcited by 15
  3. 2025JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Frameworkcited by 5
  4. 2025M2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillationcited by 3
  5. 2025Advancing Weakly-Supervised Change Detection in Satellite Images via Adversarial Class Promptingcited by 3
  6. 2026Beyond Quadratic: Linear-Time Change Detection with RWKVcited by 3
  7. 2025ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensingcited by 2
  8. 2025RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentationcited by 1
  9. 2025Compress-Align-Detect: onboard change detection from unregistered imagescited by 1
  10. 2026UrbanCDNet: Appearance-Robust and Boundary-Aware Bitemporal Change Detection for Korean Urban Building Monitoringcited by 0
  11. 2026Fidelity-Diversity-Consistency (FDC): Data Pruning for Remote Sensing Change Detectioncited by 0