Table 5 Comparison between the proposed method and state-of-the-art methods on CASIA-SURF CeFA (Unit: %).
From: Multimodal feature enhancement via dynamically-aware heterogeneous network for face anti-spoofing
Model | APCER | BPCER | ACER |
|---|---|---|---|
MA-Net29 | 20.90 ± 6.80 | 1.20 ± 1.60 | 11.10 ± 4.40 |
PSMM-Net26 | 7.80 ± 2.90 | 5.50 ± 3.00 | 6.70 ± 2.20 |
MFViT and MRF33 | 10.67 ± 8.33 | 2.37 ± 3.24 | 6.50 ± 2.59 |
FaceBagNet36 | 5.59 ± 0.20 | 3.28 ± 2.66 | 4.59 ± 1.54 |
PipeNet28 | 3.25 ± 1.98 | 1.16 ± 1.12 | 2.21 ± 1.26 |
Conv-MLP31 | 1.33 ± 0.30 | 1.42 ± 0.26 | 1.37 ± 0.27 |
DACA-CNN34 | 1.63 ± 1.79 | 2.32 ± 2.13 | 1.98 ± 0.83 |
ECA-ICD35 | 4.04 ± 3.25 | 1.53 ± 0.68 | 2.74 ± 1.57 |
DRWT-RDIA37 | 1.76 ± 1.12 | 0.87 ± 0.42 | 1.31 ± 0.76 |
Ours | 1.88 ± 0.9 | 0.72 ± 0.33 | 1.30 ± 0.34 |