mlsanityData to 14 Oct 2026

Data Augmentation For Small Object using Fast AutoAugment

arXiv 2506.08956 ↗First posted 10 Jun 2025cs.CV cs.LGcited by 1

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Abstract (arXiv)

In recent years, there has been tremendous progress in object detection performance. However, despite these advances, the detection performance for small objects is significantly inferior to that of large objects. Detecting small objects is one of the most challenging and important problems in computer vision. To improve the detection performance for small objects, we propose an optimal data augmentation method using Fast AutoAugment. Through our proposed method, we can quickly find optimal augmentation policies that can overcome degradation when detecting small objects, and we achieve a 20% performance improvement on the DOTA dataset.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 14 of its 20 references that are in the map. First posted on arXiv 10 Jun 2025.

Builds on

14 of 20 references.

References · 14

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  3. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,183
  4. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  5. 2015SSD: Single Shot MultiBox Detectorcited by 3,130
  6. 2019CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Featurescited by 2,884
  7. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,162
  8. 2017Improved Regularization of Convolutional Neural Networks with Cutoutcited by 1,628
  9. 2017Random Erasing Data Augmentationcited by 1,239
  10. 2017Ray: A Distributed Framework for Emerging AI Applicationscited by 527
  11. 2019Fast AutoAugmentcited by 243
  12. 2021Object Detection in Aerial Images: A Large-Scale Benchmark and Challengescited by 204
2 more
  1. 2019Population Based Augmentation: Efficient Learning of Augmentation Policy Schedulescited by 154
  2. 2019Augmentation for small object detectioncited by 73

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Citing papers per year: 2025: 1.

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