Abstract: Anomaly detection is a critical aspect of industrial production processes. Most of the self-supervised training system utilise Convolutional Neural Networks (CNNs) for feature extraction.
Abstract: This paper presents an efficient zero-shot industrial anomaly detection (IAD) framework based on visual-language models. Industrial anomaly detection usually adopts an unsupervised learning ...
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