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Table 3 Comparison with state-of-the-art methods on IoG database

From: A novel comparative deep learning framework for facial age estimation

Method Database (IoG)
CRCNN (early fusion) (RCNN) 66.41%
CRCNN (early fusion) (CNN) 63.16%
CRCNN (late fusion) (RCNN) 65.48%
CRCNN (late fusion) (CNN) 62.19%
LBP-KDE [30] 61.67%
Ranking SVM [25] 56.17%
RankBoost [26] 52.67%
RankNet [27] 55.08%
  1. The data in boldface shows that the performance of our approach on IoG database is better comparing to the state-of-the-art methods