A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
Open paper
Benchmark
Model
Rank
Results
emotion-recognition-in-conversation-on-iemocap
SDT
#1
Weighted-F1: 74.08
Accuracy: 73.95
emotion-recognition-in-conversation-on-meld
SDT
#12
Weighted-F1: 66.60
Accuracy: 67.55
Rank counts only results with a code link.