Applicated Transformer Model for vdW Materials Identify Process

Use deep learning model to reduce mechanical exfoliation single layer vds materials identify process and realized automatic detection. Also, use semantic-adaptive transformer to enhance IoU scores and accuracy of detection.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11109867
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
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article

Applicated Transformer Model for vdW Materials Identify Process

Chi‐Yeh Chen, Wing-Sing Cheung, Min-Hsuan You, Si-Yao Syu et al.
Non-Destructive Testing Techniques
article

Applicated Transformer Model for vdW Materials Identify Process

Chi‐Yeh Chen, Wing-Sing Cheung, Min-Hsuan You, Si-Yao Syu, Yu‐Hsun Chou
article en

Abstract

Use deep learning model to reduce mechanical exfoliation single layer vds materials identify process and realized automatic detection. Also, use semantic-adaptive transformer to enhance IoU scores and accuracy of detection.

National Cheng Kung University (TW)
Openalex Percentile: Top 78%
Non-Destructive Testing Techniques
DOISourceOpenAlex
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Applicated Transformer Model for vdW Materials Identify Process — Chi‐Yeh Chen, Wing-Sing Cheung, et al. · (2025) | TGRS Research Map | TGRS