Work

Plastic Waste Over the Ocean: An Approach to Surface Recognition

Year: 2024

Type: conference-paper

Abstract: To address the challenges of low detection accuracy and slow recognition of floating objects on water surfaces, an enhanced YOLOv5 algorithm has been developed. This improved algorithm incorporates a coordinate attention mechanism to enhance spatial recognition and employs the GIOU loss function with updated anchor matching for quicker decision-making. The new method achieved a 97.39% mAP, marking a 15.28% improvement over the original YOLOv5, demonstrating its effectiveness.

Source: IEEE International Conference on Electronics, Circuits and Systems (ICECS)

DOI: 10.1109/icecs61496.2024.10849157

Authors: Faisal Mehmood Shah, Faranak Fough, Zohaib Mehmood Shah, Nazila Fough, Yafan Zhao

Institutions: Robert Gordon University, National University of Sciences and Technology

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4406894656

FWCI: 0.458

Cites:

Cited by: 2

Related to: 10