Abstract: 3D mask presentation attack detection is crucial for protecting face recognition systems against the rising threat of 3D mask attacks. While most existing methods utilize multimodal features ...

Abstract: Self-supervised learning methods for 3D skeleton-based action recognition via contrastive learning have obtained competitive achievements compared to classical supervised methods. Current ...

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