mlsanityData to 14 Oct 2026

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

arXiv 2307.09143 ↗First posted 18 Jul 2023cs.CV cs.LGcited by 8

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Abstract (arXiv)

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects. This paper proposes a new SOD dataset consisting of 39,070 images including 137,121 bird instances, which is called the Small Object Detection for Spotting Birds (SOD4SB) dataset. The detail of the challenge with the SOD4SB dataset is introduced in this paper. In total, 223 participants joined this challenge. This paper briefly introduces the award-winning methods. The dataset, the baseline code, and the website for evaluation on the public testset are publicly available.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 31 of its 67 references that are in the map. First posted on arXiv 18 Jul 2023.

Builds on

31 of 67 references.

References · 31

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  5. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  6. 2020End-to-End Object Detection with Transformerscited by 7,414
  7. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,183
  8. 2017Cascade R-CNN: Delving into High Quality Object Detectioncited by 1,276
  9. 2016Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Networkcited by 1,204
  10. 2019Objects as Pointscited by 1,175
  11. 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,020
  12. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 691
19 more
  1. 2019CenterNet: Keypoint Triplets for Object Detectioncited by 654
  2. 2020Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentationcited by 596
  3. 2022InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutionscited by 482
  4. 2020Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detectioncited by 409
  5. 2020VarifocalNet: An IoU-aware Dense Object Detectorcited by 231
  6. 2020DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolutioncited by 222
  7. 2020Scaled-YOLOv4: Scaling Cross Stage Partial Networkcited by 211
  8. 2019iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Imagescited by 197
  9. 2022Slicing Aided Hyper Inference and Fine-tuning for Small Object Detectioncited by 105
  10. 2019Scale Match for Tiny Person Detectioncited by 61
  11. 2022Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkcited by 56
  12. 2021A Normalized Gaussian Wasserstein Distance for Tiny Object Detectioncited by 53
  13. 2019WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wildcited by 39
  14. 2020The 1st Tiny Object Detection Challenge:Methods and Resultscited by 14
  15. 2022A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillancecited by 14
  16. 2022Tiny Object Tracking: A Large-scale Dataset and A Baselinecited by 11
  17. 2022Tracking Small and Fast Moving Objects: A Benchmarkcited by 11
  18. 2021USB: Universal-Scale Object Detection Benchmarkcited by 10
  19. 2023AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airportscited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 1.

8 papers.

  1. 2024FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Videocited by 5
  2. 2024XS-VID: A Large-Scale Benchmark for Small Object Detection and Tracking in Videoscited by 3
  3. 2025MVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Resultscited by 2
  4. 2023BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluationcited by 1
  5. 2023Small Bird Detection using YOLOv7 with Test-Time Augmentationcited by 0
  6. 2025BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbinescited by 0
  7. 2025Small Object Detection for Birds with Swin Transformercited by 0
  8. 2026Any-scale Object Detection using Arbitrary-scaled Imagescited by 0