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LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition. (arXiv:2004.05085v2 [cs.CV] UPDATED)
Sept. 13, 2022, 1:15 a.m. | Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Tien D. Bui, Khoa Luu
cs.CV updates on arXiv.org arxiv.org
Disentangled representations have been commonly adopted to Age-invariant Face
Recognition (AiFR) tasks. However, these methods have reached some limitations
with (1) the requirement of large-scale face recognition (FR) training data
with age labels, which is limited in practice; (2) heavy deep network
architectures for high performance; and (3) their evaluations are usually taken
place on age-related face databases while neglecting the standard large-scale
FR databases to guarantee robustness. This work presents a novel Lightweight
Attentive Angular Distillation (LIAAD) approach to …
More from arxiv.org / cs.CV updates on arXiv.org
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