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CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
In this paper, we propose a novel multi-branch neural network that leverages SB attribute information to boost the performance of FR.
Towards Generalizable Morph Attack Detection with Consistency Regularization
The proposed consistency regularization aligns the abstraction in the hidden layers of our model across the morph attack images which are generated from diverse domains in the wild.
AAFACE: Attribute-aware Attentional Network for Face Recognition
In this paper, we present a new multi-branch neural network that simultaneously performs soft biometric (SB) prediction as an auxiliary modality and face recognition (FR) as the main task.
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