mlsanityData to 7 Oct 2026

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

arXiv 2406.09410 ↗First posted 13 Jun 2024cs.CV cs.AIcited by 31

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Abstract (arXiv)

Scene graph generation (SGG) in satellite imagery (SAI) benefits promoting understanding of geospatial scenarios from perception to cognition. In SAI, objects exhibit great variations in scales and aspect ratios, and there exist rich relationships between objects (even between spatially disjoint objects), which makes it attractive to holistically conduct SGG in large-size very-high-resolution (VHR) SAI. However, there lack such SGG datasets. Due to the complexity of large-size SAI, mining triplets <subject, relationship, object> heavily relies on long-range contextual reasoning. Consequently, SGG models designed for small-size natural imagery are not directly applicable to large-size SAI. This paper constructs a large-scale dataset for SGG in large-size VHR SAI with image sizes ranging from 512 x 768 to 27,860 x 31,096 pixels, named STAR (Scene graph generaTion in lArge-size satellite imageRy), encompassing over 210K objects and over 400K triplets. To realize SGG in large-size SAI, we propose a context-aware cascade cognition (CAC) framework to understand SAI regarding object detection (OBD), pair pruning and relationship prediction for SGG. We also release a SAI-oriented SGG toolkit with about 30 OBD and 10 SGG methods which need further adaptation by our devised modules on our challenging STAR dataset. The dataset and toolkit are available at: https://linlin-dev.github.io/project/STAR.

Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). Builds on 65 of its 107 references that are in the map. First posted on arXiv 13 Jun 2024.

Builds on

65 of 107 references.

References · 65

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38 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 5; 2025: 17; 2026: 9.

31 papers.

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  1. 2024SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understandingcited by 101
  2. 2024LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecturecited by 100
  3. 2025GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolutioncited by 41
  4. 2025When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruningcited by 35
  5. 20245%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Taskscited by 34
  6. 2025Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectivescited by 18
  7. 2025ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wildcited by 12
  8. 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instancescited by 11
  9. 2025PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detectioncited by 9
  10. 2024ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAGcited by 6
  11. 2025Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detectioncited by 6
  12. 2024Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptationcited by 4
19 more
  1. 2025MEET: A Million-Scale Dataset for Fine-Grained Geospatial Scene Classification with Zoom-Free Remote Sensing Imagerycited by 4
  2. 2025HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagerycited by 4
  3. 2025Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectivescited by 3
  4. 2025S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensingcited by 3
  5. 2025Co-Training Vision Language Models for Remote Sensing Multi-task Learningcited by 3
  6. 2025SMART-Ship: A Comprehensive Synchronized Multi-modal Aligned Remote Sensing Targets Dataset and Benchmark for Berthed Ships Analysiscited by 2
  7. 2025FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensingcited by 2
  8. 2025Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilizationcited by 2
  9. 2026FUSAR-GPT : A Spatiotemporal Feature-Embedded and Two-Stage Decoupled Visual Language Model for SAR Imagerycited by 1
  10. 2026Beyond GSD-as-Token: Continuous Scale Conditioning for Remote Sensing VLMscited by 1
  11. 2026PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experimentscited by 1
  12. 2025FOGMACHINE -- Leveraging Discrete-Event Simulation and Scene Graphs for Modeling Hierarchical, Interconnected Environments under Partial Observations from Mobile Agentscited by 0
  13. 2025Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensingcited by 0
  14. 20261%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimizationcited by 0
  15. 2026UHR-DETR: Efficient End-to-End Small Object Detection for Ultra-High-Resolution Remote Sensing Imagerycited by 0
  16. 2026AeroVerse-SatAgent: UAV-Satellite Collaborative Spatial Reasoning Inspired by the Dual Visual Pathway Theory of Cognitive Neurosciencecited by 0
  17. 2026GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentationcited by 0
  18. 2026T-STAR: A Large-Scale Benchmark for Spatio-Temporal Panoptic Scene Graph Generation in Satellite Videocited by 0
  19. 2026Modeling Scientific Experiment Scenes: Dataset and Modelcited by 0