From: A novel comparative deep learning framework for facial age estimation
Method | Database (FG-NET) | Database (MORPH) |
---|---|---|
CRCNN (early fusion) (RCNN) | 4.13 | 3.74±0.29 |
CRCNN (early fusion) (CNN) | 4.72 | 4.33±0.27 |
CRCNN (late fusion) (RCNN) | 4.20 | 3.81±0.32 |
CRCNN (late fusion) (CNN) | 4.81 | 4.52±0.23 |
Ranking SVM [25] | 5.24 | 6.49±0.17 |
RankBoost [26] | 5.67 | 6.83±0.25 |
RankNet [27] | 5.46 | 6.71±0.24 |
rKCCA [21] | - | 3.98 |
rKCCA + SVM [21] | - | 3.92 |
IIS-LLD [10] (Gaussian) | 5.77 | 5.67±0.15 |
IIS-LLD [10] (Triangle) | 5.90 | 6.09±0.14 |
IIS-LLD [10] (Single) | 6.27 | 6.35±0.17 |
CPNN [10] (Gaussian) | 4.76 | 4.87±0.31 |
CPNN [10] (Triangle) | 5.07 | 4.91±0.29 |
CPNN [10] (Single) | 5.31 | 6.59±0.31 |
OHRank [31] | 6.27 | 6.28±0.18 |
AGES [37] | 6.77 | 6.61±0.11 |
WAS [38] | 8.06 | 9.21±0.16 |
AAS [39] | 14.83 | 10.10±0.26 |
kNN [40] | 8.24 | 9.64±0.24 |
BP [41] | 11.85 | 12.59±1.38 |
C4.5 [42] | 9.34 | 7.48±0.12 |
SVM [43] | 7.25 | 7.34±0.17 |
ANFIS [44] | 8.86 | 9.24±0.17 |
Human Tests (HumanA) | 8.13 | 8.24 |
Human Tests (HumanB) | 6.23 | 7.23 |