Multi-scale feature reconstruction network for industrial anomaly detection

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Ehtesham Iqbal, Samee Ullah Khan, Sajid Javed, Brain Moyo, Yahya H. Zweiri, Yusra Abdulrahman

Published: 01 Jan 2024, Last Modified: 06 Nov 2025Knowl. Based Syst. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•MSFR is introduced for industrial anomaly detection to handle domain shifts generalization.•A multi-scale features network is developed to efficiently detect defects.•A pyramidal network is proposed to cover the limitations of traditional autoencoders.•Comprehensive experiments are generated over AeBAD-S and MVTec IAD benchmark datasets.