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EURASIP Journal on Image and Video Processing

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
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