Work

ScE-YOLO: an efficient approach for weld seam detection on workpiece surfaces

Year: 2024

Type: article

Source: Engineering Research Express

DOI: 10.1088/2631-8695/ad9668

Authors: Zhiqing Li, Haomin Chen, Qinghan Hu, Hongxing Zhou, Ziliang Huang, Haijiang Zhu

Institution: Beijing University of Chemical Technology

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Central University Basic Research Fund of China

Awards: G2409279319, G7697617837

OpenAlex ID: W4404623682

FWCI: 0.831

Cites: 55

Cited by: 4

Related to: 10