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룰루랩은 전 세계 200만개 이상의 피부 데이터를 보유하고 있습니다.
전문평가기관 공인 92% 이상의 정확도는 당신의 피부를 누구보다 견고하게 분석해냅니다.

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논문

Data Augmentation For Small Object using Fast Auto-augment

2023.07.12
  • 게재일

    2023.06.19

  • 저자

    DaeEun Yoon, Semin Kim, SangWook Yoo, Jongha Lee

  • URL

    TBD

  • 논문요약

    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 mos

APA: MDAI 2023


Abstract

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.