Multimodal Sentiment Analysis On Mosi
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| contextual-inter-modal-attention-for-multi | 82.31% |
| multilogue-net-a-context-aware-rnn-for-multi-2 | 81.19 |
| multimodal-sentiment-analysis-using | 76.5% |
| context-dependent-sentiment-analysis-in-user | 80.3% |
| cross-modal-bert-for-text-audio-sentiment | 84.5% |
| gated-mechanism-for-attention-based | 83.91% |
| unimse-towards-unified-multimodal-sentiment | 86.9 |
| multi-modality-multi-loss-fusion-network | 90.35 |
| multi-attention-recurrent-network-for-human | 77.1% |
| 190600295 | 83 |
| speech-text-dialog-pre-training-for-spoken | 87.50 |