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Aug 10, 2021 · We propose a Reference-based Defect Detection Network (RDDN). Specifically, we introduce template reference and context reference to against those two problems ...
Abstract—The defect detection task can be regarded as a realistic scenario of object detection in the computer vision field.
The defect detection task can be regarded as a realistic scenario of object detection in the computer vision field and it is widely used in the industrial ...
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Nov 18, 2022 · In this paper, we propose a novel unsupervised reconstruction-based method called the normal reference attention and defective feature ...
Oct 22, 2024 · We propose a deep learning-based reference comparison system based on a twin network (also known as a Siamese network) for high-performance ...
Dec 31, 2022 · In this article, we introduce a novel unsupervised reconstruction-based method, called the normal reference attention and defective feature ...
Sep 10, 2024 · References provide information about the expected patterns that can be compared to a query image to detect defects. Note that reference data ...
Aug 23, 2023 · We propose an efficient transformer-based detection network, ETDNet, consisting of three novel designs to achieve superior performance.
Subsequently, a novel reference-based attention module (RBAM) is proposed to convert the defect features to normal features to suppress the reconstruction of ...
This research focuses on developing a Convolutional Neural Network (CNN)-based machine learning algorithm for detecting anomalies in Fused Deposition Modelling ...