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Table 12 Comparing very-deep CNNs on FAU recognition (F1-score) [92]

From: Survey on deep learning with class imbalance

FAU class Imbalance level (A) Handcraft (B) Plain34 (C) Res10 (D) Res18 (E) Res34 (F) Res50
AU1 2.5% 0.05 0.43 0.46 0.44 0.44 0.46
AU2 1.5% 0.00 0.42 0.44 0.45 0.45 0.46
AU4 1.1% 0.00 0.44 0.42 0.41 0.40 0.42
AU5 0.9% 0.00 0.42 0.41 0.42 0.40 0.46
AU6 3.6% 0.41 0.52 0.51 0.55 0.52 0.51
AU9 0.6% 0.00 0.41 0.36 0.38 0.40 0.44
AU12 45.7% 0.89 0.89 0.90 0.89 0.90 0.90
AU17 0.4% 0.00 0.19 0.20 0.26 0.27 0.24
AU20 0.01% 0.00 0.00 0.00 0.00 0.00 0.00
AU25 29.9% 0.79 0.85 0.86 0.86 0.86 0.85
AU26 25.6% 0.64 0.73 0.74 0.73 0.74 0.73
Average 0.29 0.48 0.48 0.49 0.49 0.50