Table 4.

Summary of related surveys on underwater object detection.

No.	Survey Title	Content	Deficiency	Year	References
1	Deep Learning in Underwater Marine Object Detection: A Survey	Summarized deep learning object detection and classification methods with respect to the categories of objects, including fish, plankton, coral, and sea grass.	Unsuitable taxonomy; the main challenges of underwater object detection were not discussed.	2017	[125]
2	Underwater Target Recognition Methods Based on the Framework of Deep Learning: A Survey	Described the application of deep learning in underwater dangerous target and man-made object recognition. Discussed two main challenges around few-shot learning and environmental interference.	Does not contain marine organisms; used unsuitable taxonomy; analysis of challenges not comprehensive.	2020	[126]
3	Robust Underwater Object Detection with Autonomous Underwater Vehicles: A Comprehensive Study	Briefly discussed conventional methods and deep learning methods for underwater object detection with AUVs.	Challenges in underwater object detection were not discussed; taxonomy simple and crude; similarities and differences between two categories of methods not described.	2020	[13]