mlsanityData to 14 Oct 2026

SMART-Ship: A Comprehensive Synchronized Multi-modal Aligned Remote Sensing Targets Dataset and Benchmark for Berthed Ships Analysis

arXiv 2508.02384 ↗First posted 4 Aug 2025cs.CVcited by 3

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Abstract (arXiv)

Given the limitations of satellite orbits and imaging conditions, multi-modal remote sensing (RS) data is crucial in enabling long-term earth observation. However, maritime surveillance remains challenging due to the complexity of multi-scale targets and the dynamic environments. To bridge this critical gap, we propose a Synchronized Multi-modal Aligned Remote sensing Targets dataset for berthed ships analysis (SMART-Ship), containing spatiotemporal registered images with fine-grained annotation for maritime targets from five modalities: visible-light, synthetic aperture radar (SAR), panchromatic, multi-spectral, and near-infrared. Specifically, our dataset consists of 1092 multi-modal image sets, covering 38,838 ships. Each image set is acquired within one week and registered to ensure spatiotemporal consistency. Ship instances in each set are annotated with polygonal location information, fine-grained categories, instance-level identifiers, and change region masks, organized hierarchically to support diverse multi-modal RS tasks. Furthermore, we define standardized benchmarks on five fundamental tasks and comprehensively compare representative methods across the dataset. Thorough experiment evaluations validate that the proposed SMART-Ship dataset could support various multi-modal RS interpretation tasks and reveal the promising directions for further exploration.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 41 of its 95 references that are in the map. First posted on arXiv 4 Aug 2025.

Builds on

41 of 95 references.

References · 41

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  3. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,940
  4. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 737
  5. 2020Contrastive Learning for Unpaired Image-to-Image Translationcited by 639
  6. 2020Deep Learning for Person Re-identification: A Survey and Outlookcited by 549
  7. 2015Deep Metric Learning via Lifted Structured Feature Embeddingcited by 449
  8. 2020Circle Loss: A Unified Perspective of Pair Similarity Optimizationcited by 403
  9. 2019CSPNet: A New Backbone that can Enhance Learning Capability of CNNcited by 381
  10. 2021Remote Sensing Image Change Detection with Transformerscited by 306
  11. 2020Detection and Tracking Meet Drones Challengecited by 263
  12. 2022A Transformer-Based Siamese Network for Change Detectioncited by 244
29 more
  1. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 204
  2. 2016Person Re-identification in the Wildcited by 157
  3. 2020Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learningcited by 152
  4. 2017Dual-Path Convolutional Image-Text Embeddings with Instance Losscited by 145
  5. 2022Towards Large-Scale Small Object Detection: Survey and Benchmarkscited by 122
  6. 2019Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translationcited by 97
  7. 2021Cross-Modality Fusion Transformer for Multispectral Object Detectioncited by 86
  8. 2023ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detectioncited by 76
  9. 2021Multimodal Object Detection via Probabilistic Ensemblingcited by 68
  10. 2020SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothingcited by 62
  11. 2019Unsupervised Tracklet Person Re-Identificationcited by 55
  12. 2017A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpeningcited by 54
  13. 2020SpaceNet 6: Multi-Sensor All Weather Mapping Datasetcited by 47
  14. 2023A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detectioncited by 47
  15. 2022Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detectioncited by 46
  16. 2021Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagerycited by 45
  17. 2018The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusioncited by 42
  18. 2024MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generationcited by 42
  19. 2024Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Modelcited by 37
  20. 2024STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagerycited by 31
  21. 2021The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusioncited by 27
  22. 2019Unsupervised Image Regression for Heterogeneous Change Detectioncited by 21
  23. 2023Adaptive Sparse Pairwise Loss for Object Re-Identificationcited by 20
  24. 2023Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagerycited by 17
  25. 2021Pansharpening by convolutional neural networks in the full resolution frameworkcited by 15
  26. 2025Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Methodcited by 8
  27. 2019CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensingcited by 7
  28. 2024The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translationcited by 7
  29. 2024Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videoscited by 7

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identificationcited by 3
  2. 2026Dual-Space Modality Consistency Learning for Universal Cross-Modal Re-Identificationcited by 0
  3. 2026OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generationcited by 0