mlsanityData to 7 Oct 2026

TINYCD: A (Not So) Deep Learning Model For Change Detection

arXiv 2207.13159 ↗First posted 26 Jul 2022cs.CV cs.LG eess.IVcited by 35

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Abstract (arXiv)

In this paper, we present a lightweight and effective change detection model, called TinyCD. This model has been designed to be faster and smaller than current state-of-the-art change detection models due to industrial needs. Despite being from 13 to 140 times smaller than the compared change detection models, and exposing at least a third of the computational complexity, our model outperforms the current state-of-the-art models by at least 1% on both F1 score and IoU on the LEVIR-CD dataset, and more than 8% on the WHU-CD dataset. To reach these results, TinyCD uses a Siamese U-Net architecture exploiting low-level features in a globally temporal and locally spatial way. In addition, it adopts a new strategy to mix features in the space-time domain both to merge the embeddings obtained from the Siamese backbones, and, coupled with an MLP block, it forms a novel space-semantic attention mechanism, the Mix and Attention Mask Block (MAMB). Source code, models and results are available here: https://github.com/AndreaCodegoni/Tinymodel4CD

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). Builds on 39 of its 76 references that are in the map. First posted on arXiv 26 Jul 2022.

Builds on

39 of 76 references.

References · 39

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27 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 13; 2025: 9; 2026: 11.

35 papers.

Sort:

  1. 2024LSKNet: A Foundation Lightweight Backbone for Remote Sensingcited by 44
  2. 20243DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangementcited by 15
  3. 2024A Change Detection Reality Checkcited by 13
  4. 2024RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Modelcited by 12
  5. 2024Open-CD: A Comprehensive Toolbox for Change Detectioncited by 11
  6. 2024MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagerycited by 7
  7. 2023C-NERF: Representing Scene Changes as Directional Consistency Difference-based NeRFcited by 6
  8. 2025JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Frameworkcited by 5
  9. 2024Landslide mapping from Sentinel-2 imagery through change detectioncited by 3
  10. 2024Relating CNN-Transformer Fusion Network for Change Detectioncited by 3
  11. 2025M2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-Distillationcited by 3
  12. 2025SAM-Based Building Change Detection with Distribution-Aware Fourier Adaptation and Edge-Constrained Warpingcited by 2
23 more
  1. 2025Pushing Trade-Off Boundaries: Compact yet Effective Remote Sensing Change Detectioncited by 2
  2. 2024BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregationcited by 1
  3. 2024SCL: Towards Domain Generalization via Single-Temporal Multimodal Contrastive Learning for Remote Sensing Change Detectioncited by 1
  4. 2025Compress-Align-Detect: onboard change detection from unregistered imagescited by 1
  5. 2025EuroMineNet: A Multitemporal Sentinel-2 Benchmark for Spatiotemporal Mining Footprint Analysis in the European Union (2015-2024)cited by 1
  6. 2026ReA-OVCD: Training-Free Open-Vocabulary Change Detection via Semantic-Spatial Reliability Assessmentcited by 1
  7. 2026GAAT: Geometry-Aware Alignment Transformer for Multimodal UAV Perceptioncited by 1
  8. 2023The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Poolingcited by 0
  9. 2024An Integrated Neighborhood and Scale Information Network for Open-Pit Mine Change Detection in High-Resolution Remote Sensing Imagescited by 0
  10. 2024Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detectioncited by 0
  11. 2024Find the Assembly Mistakes: Error Segmentation for Industrial Applicationscited by 0
  12. 2025SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mappingcited by 0
  13. 2025CEBSNet: Change-Excited and Background-Suppressed Network with Temporal Dependency Modeling for Bitemporal Change Detectioncited by 0
  14. 2025Comparison of Segmentation Methods in Remote Sensing for Land Use Land Covercited by 0
  15. 2026Towards Remote Sensing Change Detection with Neural Memorycited by 0
  16. 2026PhyUnfold-Net: Advancing Remote Sensing Change Detection with Physics-Guided Deep Unfoldingcited by 0
  17. 2026Large-Scale Avalanche Mapping from SAR Images with Deep Learning-based Change Detectioncited by 0
  18. 2026UrbanCDNet: Appearance-Robust and Boundary-Aware Bitemporal Change Detection for Korean Urban Building Monitoringcited by 0
  19. 2026JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answeringcited by 0
  20. 2026iVISION-2DCD: A Long-Term Change Detection Dataset for Large-Scale Outdoor Construction Monitoringcited by 0
  21. 2026Fidelity-Diversity-Consistency (FDC): Data Pruning for Remote Sensing Change Detectioncited by 0
  22. 2026A comprehensive and trustworthy benchmark of AI methods for change detection in Earth observationcited by 0
  23. 2026PoE-Fuse: Precision-Weighted Expert Fusion for Bi-Temporal Change Understandingcited by 0