Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition

CVPR 2016 Yandong WenZhifeng LiYu Qiao

While considerable progresses have been made on face recognition, age-invariant face recognition (AIFR) still remains a major challenge in real world applications of face recognition systems. The major difficulty of AIFR arises from the fact that the facial appearance is subject to significant intra-personal changes caused by the aging process over time... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Age-Invariant Face Recognition CACDVS LF-CNNs Accuracy 98.5 # 6

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