CMU-MOSEI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multimodal Sentiment Analysis | CMU-MOSEI (test) | F1 Score91.7 | 206 | |
| Sentiment Analysis | CMU-MOSEI (test) | Acc (2-class)85.5 | 40 | |
| Multimodal Emotion Recognition | CMU-MOSEI (test) | ACC70.553 | 30 | |
| Multimodal Sentiment Analysis | CMU-MOSEI segments (test) | ACC286.4 | 22 | |
| Emotion Recognition | CMU-MOSEI | F1 Score84 | 19 | |
| Emotion Recognition | CMU-MOSEI (test) | Accuracy (7)54.6 | 19 | |
| Multimodal Sentiment Analysis | CMU-MOSEI Unaligned (test) | Accuracy (2-Class)82.4 | 18 | |
| Multimodal Sentiment Analysis | CMU-MOSEI Word Aligned (test) | Accuracy (7-Class)51.8 | 14 | |
| Multimodal Sentiment Analysis | CMU-MOSEI BERT-based (test) | Accuracy (2-Class)85.7 | 14 | |
| Classification | CMU-MOSEI unaligned | Accuracy (2-class)32.02 | 10 | |
| 7-class emotion recognition | CMU-MOSEI | F1 (7-class)31 | 7 | |
| Multimodal Emotion Recognition in Conversation | CMU-MOSEI standard (test) | Accuracy (ACC)46.82 | 7 | |
| Multi-modal Sentiment Analysis Classification (MSAC) | CMU-MOSEI | Class Negative (%)58.1 | 7 | |
| Sentiment Analysis | CMU-MOSEI | WF10.7766 | 6 | |
| Multimodal Sentiment Analysis | CMU-MOSEI standard (test) | Accuracy81.14 | 5 | |
| 2-class Sentiment Recognition | CMU-MOSEI | Accuracy73.7 | 3 | |
| Multimodal Sentiment Analysis | CMU-MOSEI | A2 Score76.8 | 3 | |
| Multimodal Sentiment Analysis | CMU-MOSEI (train) | Loss0.438 | 2 | |
| Multimodal Sentiment Analysis | CMU-MOSEI excluding utterances with sentiment score of 0 (test) | Accuracy85.27 | 2 |
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