Work

Research on Lightweight Object Detection Based on Improved YOLOv8n for Experimental Scenarios

Year: 2024

Type: conference-paper

Source: International Conference on Artificial Intelligence and Automation Control (AIAC)

DOI: 10.1109/aiac63745.2024.10899550

Authors: Runqi Lin, Jiafan Zhuang, Zhifeng Hao, Zhun Fan

Institutions: Shantou University, University of Electronic Science and Technology of China

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G8460885964

OpenAlex ID: W4408018676

FWCI: 0.458

Cites: 6

Cited by: 2

Related to: 10