YOLO series target detection algorithms for underwater environments
This work addresses challenges in underwater target detection for marine engineering applications, but it appears incremental as it builds on existing YOLO methods without introducing a new paradigm.
The paper tackles the limitations of YOLO target detection algorithms in underwater environments, such as dim light and turbid water, by proposing improved methods for applications like structural health monitoring and biological detection, but does not report specific numerical results.
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.