Adaptive Model Compression for Steel Plate Surface Defect Detection: An Expert Knowledge and Working Condition-Based Approach-Reference-Cited by-同舟云学术

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Adaptive Model Compression for Steel Plate Surface Defect Detection: An Expert Knowledge and Working Condition-Based Approach

Published:2024-12 Issue:6 Volume:29 Page:1851-1871
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Sun Maojie¹,Dong Fang¹,Huang Zhaowu¹,Luo Junzhou¹

Affiliation:

1. School of Computer Science and Engineering, Southeast University,Nanjing,China,211189

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Key Laboratory of Computer Network and Information Integration

Ministry of Education of China

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx8/5971803/10565951/10565998.pdf?arnumber=10565998

Reference31 articles.

1. Optimal Frequency of AC Magnetic Flux Leakage Testing for Detecting Defect Size and Orientation in Thick Steel Plates

2. Steel Surface Defect Detection via Deformable Convolution and Background Suppression

3. A steel surface defect inspection approach towards smart industrial monitoring

4. AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection

5. Defect detection of hot rolled steels with a new object detection framework called classification priority network

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