Mobile Vision Transformer for Surface Defect Classification from A Tiny Dataset-Reference-Cited by-同舟云学术

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Mobile Vision Transformer for Surface Defect Classification from A Tiny Dataset

Published:2023-10-04 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Information & Communication Technology and System (ICTS)
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Author:

Permatasari Ghaluh Indah¹,Pao Hsing-Kuo²,Pribadi Rudy Cahyadi Hario¹,Iqbal Mohammad³

Affiliation:

1. National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan R.O.C.,106

2. University of Bhayangkara,Department of Informatics Engineering,Surabaya,Indonesia

3. Institut Teknologi Sepuluh Nopember,Department of Mathematics,Surabaya,Indonesia,60111

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330802/10330826/10330837.pdf?arnumber=10330837

Reference16 articles.

1. A case study in the use of defect classification in inspections;Kelly

2. Mechanical Properties Prediction for Hot Rolled Alloy Steel Using Convolutional Neural Network

3. Development of method for calculation of structure parameters of hot-rolled steel strip for sheet stamping;Aldunin;Journal of Chemical Technology and Metallurgy,2017

4. X-SDD: A New Benchmark for Hot Rolled Steel Strip Surface Defects Detection

5. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy

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