mlsanityData to 7 Oct 2026

ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery

arXiv 2406.06028 ↗First posted 10 Jun 2024cs.CVcited by 3

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Abstract (arXiv)

Scene Graph Generation (SGG) is a high-level visual understanding and reasoning task aimed at extracting entities (such as objects) and their interrelationships from images. Significant progress has been made in the study of SGG in natural images in recent years, but its exploration in the domain of remote sensing images remains very limited. The complex characteristics of remote sensing images necessitate higher time and manual interpretation costs for annotation compared to natural images. The lack of a large-scale public SGG benchmark is a major impediment to the advancement of SGG-related research in aerial imagery. In this paper, we introduce the first publicly available large-scale, million-level relation dataset in the field of remote sensing images which is named as ReCon1M. Specifically, our dataset is built upon Fair1M and comprises 21,392 images. It includes annotations for 859,751 object bounding boxes across 60 different categories, and 1,149,342 relation triplets across 64 categories based on these bounding boxes. We provide a detailed description of the dataset's characteristics and statistical information. We conducted two object detection tasks and three sub-tasks within SGG on this dataset, assessing the performance of mainstream methods on these tasks.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 44 of its 88 references that are in the map. First posted on arXiv 10 Jun 2024.

Builds on

44 of 88 references.

References · 44

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2016Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotationscited by 2,646
  4. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
  5. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,275
  6. 2017Scene Graph Generation by Iterative Message Passingcited by 462
  7. 2017Neural Motifs: Scene Graph Parsing with Global Contextcited by 413
  8. 2020Unbiased Scene Graph Generation from Biased Trainingcited by 355
  9. 2019Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmarkcited by 339
  10. 2016Visual Relationship Detection with Language Priorscited by 333
  11. 2018Image Generation from Scene Graphscited by 324
  12. 2018Graph R-CNN for Scene Graph Generationcited by 296
32 more
  1. 2018Learning to Compose Dynamic Tree Structures for Visual Contextscited by 258
  2. 2018Auto-Encoding Scene Graphs for Image Captioningcited by 254
  3. 2019Action Genome: Actions as Composition of Spatio-temporal Scene Graphscited by 249
  4. 2020VarifocalNet: An IoU-aware Dense Object Detectorcited by 230
  5. 2021Oriented R-CNN for Object Detectioncited by 230
  6. 2015Conditional Random Fields as Recurrent Neural Networkscited by 213
  7. 2021ReDet: A Rotation-equivariant Detector for Aerial Object Detectioncited by 202
  8. 2017Exploring Models and Data for Remote Sensing Image Caption Generationcited by 195
  9. 2020FCOS: A simple and strong anchor-free object detectorcited by 171
  10. 2020GPS-Net: Graph Property Sensing Network for Scene Graph Generationcited by 165
  11. 2021FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagerycited by 143
  12. 2021Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generationcited by 137
  13. 2017Visual Translation Embedding Network for Visual Relation Detectioncited by 112
  14. 2018Explainable and Explicit Visual Reasoning over Scene Graphscited by 103
  15. 2017Detecting Visual Relationships with Deep Relational Networkscited by 97
  16. 2017Multi-Label Zero-Shot Learning with Structured Knowledge Graphscited by 72
  17. 2017Visual Relationship Detection with Internal and External Linguistic Knowledge Distillationcited by 60
  18. 2019SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognitioncited by 55
  19. 2023Prototype-based Embedding Network for Scene Graph Generationcited by 37
  20. 2018Large-Scale Visual Relationship Understandingcited by 33
  21. 2020Structured Query-Based Image Retrieval Using Scene Graphscited by 33
  22. 2020Graph Density-Aware Losses for Novel Compositions in Scene Graph Generationcited by 31
  23. 2017Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detectioncited by 28
  24. 2020Weakly Supervised Visual Semantic Parsingcited by 28
  25. 2023Devil's on the Edges: Selective Quad Attention for Scene Graph Generationcited by 23
  26. 2020Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generationcited by 22
  27. 2019An Empirical Study on Leveraging Scene Graphs for Visual Question Answeringcited by 21
  28. 2020Relation Transformer Networkcited by 20
  29. 2019Using Scene Graph Context to Improve Image Generationcited by 12
  30. 2018Context-Dependent Diffusion Network for Visual Relationship Detectioncited by 9
  31. 2019Scene Graph based Image Retrieval -- A case study on the CLEVR Datasetcited by 5
  32. 2018Scene Graph Generation via Conditional Random Fieldscited by 4

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Cited by year (2026 to 7 Oct)

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

3 papers.

  1. 2025RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoningcited by 19
  2. 2026GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentationcited by 0
  3. 2026T-STAR: A Large-Scale Benchmark for Spatio-Temporal Panoptic Scene Graph Generation in Satellite Videocited by 0