CMU-MOSEI

The CMU-MOSEI dataset is a multi-modal benchmark that contains annotated video clips for evaluating emotion recognition across textual, audio, and visual features.

Papers using CMU-MOSEI (1)

Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets2026