LED-Display Defect Detection Based on YOLOv5 and Transformer-Reference-Cited by-同舟云学术

LED-Display Defect Detection Based on YOLOv5 and Transformer

Published:2023 Issue: Volume:11 Page:124660-124675
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Park Jinwoo¹^ORCID,Bae Jihun²,Lim Jongeon³,Kim Byeongchan²,Jeong Jongpil¹^ORCID

Affiliation:

1. Department of Smart Factory Convergence, Sungkyunkwan University, Jangan, Suwon, Gyeonggi, Republic of Korea

2. Department of Mechanical Engineering, Sungkyunkwan University, Jangan, Suwon, Gyeonggi, Republic of Korea

3. Department of Advanced Material Science and Engineering, Sungkyunkwan University, Jangan, Suwon, Gyeonggi, Republic of Korea

Funder

Sungkyunkwan University

BK21 FOUR

Ministry of Education (MOE), Korea

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10287328.pdf?arnumber=10287328

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4. Geometric Loss Functions for Camera Pose Regression with Deep Learning

5. Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU

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