The proposed AFRN uses attention-weighted selection of the most relevant local feature pairs, achieving state-of-the-art face verification and identification results on LFW, YTF, IJB-A, IJB-B, and IJB-C.
Faceposenet: Making a case for landmark-free face alignment
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Attentional Feature-Pair Relation Networks for Accurate Face Recognition
The proposed AFRN uses attention-weighted selection of the most relevant local feature pairs, achieving state-of-the-art face verification and identification results on LFW, YTF, IJB-A, IJB-B, and IJB-C.