mlsanityData to 14 Oct 2026

Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection

arXiv 2505.05741 ↗First posted 9 May 2025cs.CVcited by 6

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Abstract (arXiv)

Tiny object detection plays a vital role in drone surveillance, remote sensing, and autonomous systems, enabling the identification of small targets across vast landscapes. However, existing methods suffer from inefficient feature leverage and high computational costs due to redundant feature processing and rigid query allocation. To address these challenges, we propose Dome-DETR, a novel framework with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection. To reduce feature redundancies, we introduce a lightweight Density-Focal Extractor (DeFE) to produce clustered compact foreground masks. Leveraging these masks, we incorporate Masked Window Attention Sparsification (MWAS) to focus computational resources on the most informative regions via sparse attention. Besides, we propose Progressive Adaptive Query Initialization (PAQI), which adaptively modulates query density across spatial areas for better query allocation. Extensive experiments demonstrate that Dome-DETR achieves state-of-the-art performance (+3.3 AP on AI-TOD-V2 and +2.5 AP on VisDrone) while maintaining low computational complexity and a compact model size. Code is available at https://github.com/RicePasteM/Dome-DETR.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 35 of its 49 references that are in the map. First posted on arXiv 9 May 2025.

Builds on

35 of 49 references.

References · 35

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  3. 2020End-to-End Object Detection with Transformerscited by 7,414
  4. 2017Mask R-CNNcited by 7,277
  5. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,183
  6. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  7. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  8. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  9. 2015Fast R-CNNcited by 2,933
  10. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  11. 2022DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detectioncited by 1,319
  12. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,276
23 more
  1. 2022DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETRcited by 573
  2. 2024YOLOv10: Real-Time End-to-End Object Detectioncited by 515
  3. 2022DN-DETR: Accelerate DETR Training by Introducing Query DeNoisingcited by 488
  4. 2016R-FCN: Object Detection via Region-based Fully Convolutional Networkscited by 414
  5. 2025YOLOv12: Attention-Centric Real-Time Object Detectorscited by 305
  6. 2020Detection and Tracking Meet Drones Challengecited by 263
  7. 2020DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolutioncited by 222
  8. 2019Clustered Object Detection in Aerial Imagescited by 83
  9. 2023Dense Distinct Query for End-to-End Object Detectioncited by 77
  10. 2024D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinementcited by 74
  11. 2019Augmentation for small object detectioncited by 73
  12. 2022Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkcited by 56
  13. 2021A Normalized Gaussian Wasserstein Distance for Tiny Object Detectioncited by 53
  14. 2022RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detectioncited by 51
  15. 2023Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanismcited by 51
  16. 2023Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Imagescited by 41
  17. 2024LW-DETR: A Transformer Replacement to YOLO for Real-Time Detectioncited by 36
  18. 2021UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagerycited by 34
  19. 2024DQ-DETR: DETR with Dynamic Query for Tiny Object Detectioncited by 28
  20. 2020A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detectioncited by 25
  21. 2022Focus-and-Detect: A Small Object Detection Framework for Aerial Imagescited by 19
  22. 2024A DeNoising FPN With Transformer R-CNN for Tiny Object Detectioncited by 12
  23. 2023Rethinking the backbone architecture for tiny object detectioncited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 5.

6 papers.

  1. 2026DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Imagescited by 3
  2. 2026D3R-DETR: DETR with Dual-Domain Density Refinement for Tiny Object Detection in Aerial Imagescited by 2
  3. 2026RiO-DETR: DETR for Real-time Oriented Object Detectioncited by 1
  4. 2025Learning Where to Focus: Density-Driven Guidance for Detecting Dense Tiny Objectscited by 0
  5. 2026UHR-DETR: Efficient End-to-End Small Object Detection for Ultra-High-Resolution Remote Sensing Imagerycited by 0
  6. 2026Variable-Granularity Tokenization for High-Resolution Object Detectioncited by 0