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Facial Emotion Recognition on AffectNet original (val)

63.77AccuracyPOSTER++
29.356438.290747.22556.1593Feb 6, 2026

Evaluation results

MethodLinks
POSTER++2026.0263.77———————
DAN2026.0262.09———————
PSR2026.0260.68———————
MA-Net2026.0260.29———————
SCN2026.0260.23———————
EfficientFace2026.0260.23———————
RegularizedConsistencyLossDistribution=Learned2026.0242.743636420.315.280.520.38
ConsistencyLoss2026.0242.113735420.211.990.650.42
GuidedConsistencyLossDistribution=Learned2026.0241.063446410.336.010.540.35
RegularizedConsistencyLossDistribution=Fixed2026.0239.783130400.234.080.590.27
GuidedConsistencyLossDistribution=Fixed2026.0237.412826370.263.770.570.2
FocalLoss2026.0230.682221310.273.630.570.13