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Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Anomaly Detection
Unsupervised anomaly detection using only normal samples is of great significance for quality inspection in industrial manufacturing.
A Systematical Solution for Face De-identification
Through this, we can construct unrestricted adversarial image to decrease ID similarity recognized by model.
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