YOLOv8-Sea: An Efficient Object Detection Network for Sea Surface Scenarios
Year: 2024
Type: conference-paper
Source: China Automation Congress (CAC)
Institution: Hunan University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Award: G8192720103
OpenAlex ID: W4407455025