A supervised contrastive ordinal classifier with time-series augmentation improves minority-class recall on DAiSEE, but not overall accuracy, and the best non-contrastive baseline nearly matches it.
Affect-driven ordinal engagement measure- ment from videos,
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Supervised Contrastive Learning for Ordinal Engagement Measurement
A supervised contrastive ordinal classifier with time-series augmentation improves minority-class recall on DAiSEE, but not overall accuracy, and the best non-contrastive baseline nearly matches it.