mlsanityData to 7 Oct 2026

A Transformer-Based Siamese Network for Change Detection

arXiv 2201.01293 ↗First posted 4 Jan 2022cs.CVcited by 243

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Abstract (arXiv)

This paper presents a transformer-based Siamese network architecture (abbreviated by ChangeFormer) for Change Detection (CD) from a pair of co-registered remote sensing images. Different from recent CD frameworks, which are based on fully convolutional networks (ConvNets), the proposed method unifies hierarchically structured transformer encoder with Multi-Layer Perception (MLP) decoder in a Siamese network architecture to efficiently render multi-scale long-range details required for accurate CD. Experiments on two CD datasets show that the proposed end-to-end trainable ChangeFormer architecture achieves better CD performance than previous counterparts. Our code is available at https://github.com/wgcban/ChangeFormer.

Key facts. Cited by 243 papers in the map (data through 7 Oct 2026). Builds on 9 of its 15 references that are in the map. First posted on arXiv 4 Jan 2022.

Builds on

9 of 15 references.

References · 9

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  4. 2021Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutionscited by 1,960
  5. 2021Transformers in Vision: A Surveycited by 1,009
  6. 2018Fully Convolutional Siamese Networks for Change Detectioncited by 305
  7. 2021Remote Sensing Image Change Detection with Transformerscited by 305
  8. 2019Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Modelcited by 84
  9. 2021SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Drivingcited by 18

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 19; 2023: 37; 2024: 61; 2025: 64; 2026: 62.

243 papers.

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  1. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,107
  2. 2024ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Modelcited by 118
  3. 2022An Empirical Study of Remote Sensing Pretrainingcited by 105
  4. 2024RS-Mamba for Large Remote Sensing Image Dense Predictioncited by 80
  5. 2022Changer: Feature Interaction is What You Need for Change Detectioncited by 78
  6. 2024HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Modelcited by 72
  7. 2024MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretrainingcited by 66
  8. 2024Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysiscited by 60
  9. 2023Adapting Segment Anything Model for Change Detection in HR Remote Sensing Imagescited by 56
  10. 2024CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detectioncited by 48
  11. 2023A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detectioncited by 47
  12. 2024LSKNet: A Foundation Lightweight Backbone for Remote Sensingcited by 44
38 more
  1. 2022Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Imagescited by 43
  2. 2022AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoderscited by 41
  3. 2023Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Reviewcited by 41
  4. 2024Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Modelcited by 37
  5. 2022TINYCD: A (Not So) Deep Learning Model For Change Detectioncited by 35
  6. 2022HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpeningcited by 32
  7. 2022Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Imagescited by 30
  8. 2024HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Imagescited by 30
  9. 2024Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagerycited by 30
  10. 2024Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectivescited by 27
  11. 2023Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detectioncited by 26
  12. 2022Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite Imagescited by 24
  13. 2023Remote Sensing Change Detection With Transformers Trained from Scratchcited by 22
  14. 2023Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Processcited by 22
  15. 2023GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPMcited by 21
  16. 2023Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchangecited by 20
  17. 2024Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Modelcited by 20
  18. 2022DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detectioncited by 19
  19. 2023SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detectioncited by 19
  20. 2024ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detectioncited by 19
  21. 2024SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detectorcited by 18
  22. 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectivescited by 18
  23. 2022Fully Transformer Network for Change Detection of Remote Sensing Imagescited by 17
  24. 2024Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidancecited by 17
  25. 2022Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detectioncited by 16
  26. 2023Detecting Building Changes with Off-Nadir Aerial Imagescited by 16
  27. 2023HCGMNET: A Hierarchical Change Guiding Map Network For Change Detectioncited by 16
  28. 2023Kuro Siwo: 33 billion m2 under the water. A global multi-temporal satellite dataset for rapid flood mappingcited by 16
  29. 2025RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretationcited by 16
  30. 2024RingMo-Aerial: An Aerial Remote Sensing Foundation Model With Affine Transformation Contrastive Learningcited by 15
  31. 20243DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangementcited by 15
  32. 2023Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioningcited by 14
  33. 2023Adjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detectioncited by 13
  34. 2023TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Imagescited by 13
  35. 2024A Change Detection Reality Checkcited by 13
  36. 2024A Mamba-based Siamese Network for Remote Sensing Change Detectioncited by 13
  37. 2023MapFormer: Boosting Change Detection by Using Pre-change Informationcited by 12
  38. 2023SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing imagescited by 12

50 most cited of 243 All 243 (JSON)