GRA-Net: Global receptive attention network for surface defect detection-Reference-Cited by-同舟云学术

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GRA-Net: Global receptive attention network for surface defect detection

Published:2023-11 Issue: Volume:280 Page:111066
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Xiao Meng,Yang Bo^ORCID,Wang Shilong,Mo Fan,He Yan,Gao Yifan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference40 articles.

1. Digital thread-driven proactive and reactive service composition for cloud manufacturing;Yang;IEEE Trans. Ind. Inform.,2023

2. Deep residual learning for image recognition;He,2016

3. Xception: deep learning with depthwise separable convolutions;Chollet,2017

4. ACNet: strengthening the kernel skeletons for powerful CNN via asymmetric convolution blocks;Ding,2019

5. Deformable ConvNets v2: more deformable;Zhu,2019

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3. A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects;Sensors;2024-06-25

4. Feature Enhancement via Linear Transformation and Its Application in Fault Diagnosis;IEEE Internet of Things Journal;2024-06-15

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