Emotion Recognition In Context On Bold
Metriken
AUC
Average mAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | AUC | Average mAP | Paper Title | Repository |
|---|---|---|---|---|
| A. Xenos et al | 69.83 | 26.66 | VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning | |
| EmotionCLIP(linear-probe evaluation) | 69.30 | 22.51 | Learning Emotion Representations from Verbal and Nonverbal Communication | - |
| Pikoulis et al | 66.82 | 19.29 | Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild |
0 of 3 row(s) selected.