Abstract: Fault diagnosis (FD) techniques leveraging self-supervised contrastive learning (SSCL) have demonstrated significant potential in industrial scenarios due to their reduced dependence on ...
Abstract: In recent years, contrastive learning has made significant progress in DeepFake detection. However, existing methods emphasize class granularity, and it is difficult to distinguish between ...
IDER is a novel framework for continual learning based on the idempotent property, which mitigates catastrophic forgetting and improves prediction reliability. It is a simple and robust method that ...
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