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. 2019 Jun 18;27(Suppl 1):217–227. doi: 10.3233/THC-199021

Table 1.

The performance comparisons in terms of facial recognition errors

Collected facial palsy images LFW dataset BU3D dataset
CLNF [24] 0.335 0.262 0.284
SDM [19] 0.401 0.306 0.216
CLM [23] 0.492 0.342 0.304
Dlib [31] 0.312 0.288 0.274
End-to-end training 0.749 0.701 0.685
Ours 0.186 0.116 0.105