Articles with "strip steel" as a keyword



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Saliency detection for strip steel surface defects using multiple constraints and improved texture features

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Published in 2020 at "Optics and Lasers in Engineering"

DOI: 10.1016/j.optlaseng.2019.106000

Abstract: Abstract Surface defect detection of strip steel is still a challenging task for its complex variances, e.g., intra-class defects exist large differences in appearance while inter-class defects contain similar parts. To address these issues, we… read more here.

Keywords: texture features; strip steel; detection strip;
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Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface Defects

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3132082

Abstract: Recently, more and more researchers have paid attention to the surface defect detection of strip steel. However, the performance of existing methods usually fails to detect the defect regions from some complex scenes, especially with… read more here.

Keywords: dense attention; deep features; strip steel; surface ... See more keywords
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Two-Stage Edge Reuse Network for Salient Object Detection of Strip Steel Surface Defects

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3200114

Abstract: Recently, researchers have paid more attention to salient object detection (SOD) of strip steel surface defects, but there are lots of difficulties, such as a mass of noise, blurry defect boundaries, complex backgrounds, and various… read more here.

Keywords: salient object; strip steel; stage; object detection ... See more keywords
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DCAM-Net: A Rapid Detection Network for Strip Steel Surface Defects Based on Deformable Convolution and Attention Mechanism

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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3238698

Abstract: Strip steel surface defect detection is a critical step in the production field of the steel industry and a vital guarantee to improve the quality of strip steel production. However, due to the poor contrast… read more here.

Keywords: steel; strip steel; detection; steel surface ... See more keywords
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Enhanced You Only Look Once X for surface defect detection of strip steel

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Published in 2022 at "Frontiers in Neurorobotics"

DOI: 10.3389/fnbot.2022.1042780

Abstract: Using deep learning-based methods to detect surface defects in strip steel can reduce the impact of human factors and lower costs while maintaining accuracy and efficiency. However, the main disadvantages of this method is the… read more here.

Keywords: strip steel; surface; defect detection; detection ... See more keywords