山东大学教师主页 Liu Yan A Two-Stage Industrial Defect Detection Framework Based on Improved-YOLOv5 and Optimized-Inception-ResnetV2 Models Home

Personal Information

Degree:Doctoral Degree in Engineering
School/Department:控制科学与工程学院

Gender:Male

Education Level:Postgraduate (Postdoctoral)

Alma Mater:山东大学

Current position: Home / Scientific Research / Paper Publications

A Two-Stage Industrial Defect Detection Framework Based on Improved-YOLOv5 and Optimized-Inception-ResnetV2 Models

Release Time:2023-06-10 | Hits:

Institution:控制科学与工程学院

Title of Paper:A Two-Stage Industrial Defect Detection Framework Based on Improved-YOLOv5 and Optimized-Inception-ResnetV2 Models

Journal:Applied Sciences-Basel

Key Words:AUBO-i5 robot;Enriched-NEU-DET;Multiscale detection layer;Two-stage

First Author:李壮

Document Code:1523583702037172226

Volume:12

Issue:2

Number of Words:15

Translation or Not:No

Date of Publication:2022-01