mlsanityData to 14 Oct 2026

YOLO series target detection algorithms for underwater environments

arXiv 2309.03539 ↗First posted 7 Sep 2023cs.CVcited by 0

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Abstract (arXiv)

You Only Look Once (YOLO) algorithm is a representative target detection algorithm emerging in 2016, which is known for its balance of computing speed and accuracy, and now plays an important role in various fields of human production and life. However, there are still many limitations in the application of YOLO algorithm in underwater environments due to problems such as dim light and turbid water. With limited land area resources, the ocean must have great potential for future human development. In this paper, starting from the actual needs of marine engineering applications, taking underwater structural health monitoring (SHM) and underwater biological detection as examples, we propose improved methods for the application of underwater YOLO algorithms, and point out the problems that still exist.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 7 Sep 2023.

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4 of 22 references.

References · 4

  1. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,183
  2. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  3. 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
  4. 2019Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regressioncited by 1,368

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