Improving surface defect detection with context-guided asymmetric modulation networks and confidence-boosting loss-Reference-Cited by-同舟云学术

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Improving surface defect detection with context-guided asymmetric modulation networks and confidence-boosting loss

Published:2023-09 Issue: Volume:225 Page:120121
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kang Danqing^ORCID,Lai Jianhuang^ORCID,Han Yu^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference59 articles.

1. A non-local algorithm for image denoising;Buades,2005

2. GCNet: Non-local networks meet squeeze-excitation networks and beyond;Cao,2019

3. A real-time defective pixel detection system for LCDs using deep learning based object detectors;Çelik;Journal of Intelligent Manufacturing,2020

4. Rethinking atrous convolution for semantic image segmentation;Chen,2017

5. Encoder-decoder with atrous separable convolution for semantic image segmentation;Chen,2018

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1. A dataset for deep learning based detection of printed circuit board surface defect;Scientific Data;2024-07-22

2. Enhancing Fruit Fly Detection in Complex Backgrounds Using Transformer Architecture with Step Attention Mechanism;Agriculture;2024-03-18

3. Defect-Aware Unequal Network for Industrial Surface Defect Detection;2023

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