EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle
Open paper
Benchmark
Model
Rank
Results
emotion-recognition-in-context-on-caer-1
EmotiCon
–
Accuracy: 88.65
emotion-recognition-in-context-on-emotic
EmotiCon (Depth-based)
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mAP: 35.48
emotion-recognition-in-context-on-emotic
EmotiCon (GCN)
–
mAP: 32.03
Rank counts only results with a code link.