  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. Our proposed network named AAFace
utilizes SB attributes to enhance the discriminative ability of FR
representation. To achieve this goal, we propose an attribute-aware attentional
integration (AAI) module to perform weighted integration of FR with SB feature
maps. Our proposed AAI module is not only fully context-aware but also capable
of learning complex relationships between input features by means of the
sequential multi-scale channel and spatial sub-modules. Experimental results
verify the superiority of our proposed network compared with the
state-of-the-art (SoTA) SB prediction and FR methods.
