Two-Stage Metal Surface Defect Detection and Classification System Based on VAEGAN and Class-Embedding

Cheng, Sheng-Tzong and Yeh, Chun-Wei (2023) Two-Stage Metal Surface Defect Detection and Classification System Based on VAEGAN and Class-Embedding. EAI Endorsed Transactions on AI and Robotics.

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Abstract

Surface defect detection is crucial in maintaining product quality across various industries. Traditional manual inspection methods are often time-consuming and subjective, which can result in inaccuracies and higher production costs. With the use of deep learning techniques, significant advancement

Item Type: Article
Date Deposited: 04 Mar 2026 18:10
Last Modified: 11 Apr 2026 00:32
URI: http://eprints.eai.eu/id/eprint/51483

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