Table 3 Performance comparison of ICANet with other algorithms using the FERET database fb and fc represent expression and light changes, and dup1 and dup2 represent age changes
From: ICANet: a simple cascade linear convolution network for face recognition
Method | fb | fc | dup1 | dup2 |
|---|---|---|---|---|
LBP [17] | 93.00 | 51.00 | 61.00 | 50.00 |
DMMA [19] | 98.10 | 98.50 | 81.60 | 83.20 |
G-LBP [20] | 98.00 | 98.00 | 90.00 | 85.00 |
WPCA-POEM [21] | 99.60 | 99.50 | 88.80 | 85.00 |
sPOEM+POD [22] | 99.70 | 100 | 94.90 | 94.00 |
KDCV [20] | 98.00 | 98.00 | 90.00 | 85.00 |
LGXP [23] | 99.00 | 99.00 | 94.00 | 93.00 |
G-LQP [24] | 99.90 | 100.0 | 93.20 | 91.00 |
GOM [25] | 99.90 | 100 | 95.70 | 93.10 |
DFD [26] | 99.40 | 100.0 | 91.80 | 92.30 |
MDML-DCPs [27] | 99.75 | 100.0 | 96.12 | 95.73 |
PCANet [6] | 99.58 | 100 | 95.43 | 94.02 |
ICANet | 99.67 | 100 | 96.26 | 94.44 |