Traditional approaches often struggle to generalize well across diverse writing styles and varying levels of forgery. This project explores deep learning-based approaches to address the problem of ...

Abstract: In industrial scenarios, existing deep generative methods face the challenge of adapting to new domains with limited data for anomaly detection. Flow-based generative models are efficient ...

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