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:2023-10-29 | 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:Journal of Applied Sciences

First Author:李壮

Document Code:D8E4AA7460A54CA5988960D5719B662D

Issue:12

Number of Words:12

Translation or Not:No

Date of Publication:2022-12