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Face Recognition on LFW, CA-LFW, CP-LFW, CFP-FP, and AgeDB-30 (test)

97.03Mean Accuracy (%)FaceLiVTv2-L
95.00295.528596.05596.5815Apr 10, 2026

Evaluation results

MethodLinks
FaceLiVTv2-LRuntime=ONNX2026.0497.031.292.45.458.8
FaceLiVTv2-MRuntime=ONNX2026.0496.971.272.085.397.61
FaceLiVTv2-SRuntime=ONNX2026.0496.691.251.645.356.42
KANFace-0.5Runtime=ONNX2026.0496.631.966.197.1220.47
GhostFaceNetV1-1Runtime=ONNX2026.0496.481.124.535.0819.68
FaceLiVTv1-MRuntime=ONNX2026.0496.251.833.617.0413.65
EdgeFace-SRuntime=ONNX2026.0496.161.842.96.8511.16
SwiftFaceFormer-L1Runtime=ONNX2026.0495.831.364.515.5310.85
KANFace-0.6Runtime=ONNX2026.0495.831.924.016.614.37
SwiftFaceFormer-SRuntime=ONNX2026.0495.741.282.535.288.18
FaceLiVTv1-SRuntime=ONNX2026.0495.551.732.16.48.02
FaceLiVTv2-XSRuntime=ONNX2026.0495.51.231.245.084.57
EdgeFace-XSRuntime=ONNX2026.0495.441.832.126.428.04
GhostFaceNetV2-2Runtime=ONNX2026.0495.341.492.86.8912.02
GhostFaceNetV1-2Runtime=ONNX2026.0495.121.032.214.968.32
SwiftFaceFormer-XSRuntime=ONNX2026.0495.081.171.824.546.2