Work

A lightweight steel surface defect detection model based on YOLOv9

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Signal, Information and Data Processing (ICSIDP)

DOI: 10.1109/icsidp62679.2024.10868131

Authors: Duo Han, Feng Deng

Institution: Beijing Information Science & Technology University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4407404603

FWCI:

Cites: 10

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Related to: 10