YOLO-Underwater: A Real-Time Object Detection Framework for Enhanced Underwater Robotics Operations
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5675-9_5
Reference18 articles.
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3. Ge, H., Dai, Y., Zhu, Z.: A deep learning model applied to optical image target detection and recognition for the identification of underwater biostructures. Machines 10(9), 809 (2022)
4. Zhang, H., Zhang, S., Wang, Y.: Subsea pipeline leak inspection by autonomous underwater vehicle. Appl. Ocean Res. 107, 102321 (2021)
5. Gašparović, B., Lerga, J., Mauša, G.: deep learning approach for objects detection in underwater pipeline images. Appl. Artif. Intell. 36(1), 2146853 (2022)
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