Multimodal Sentiment Analysis on CMU-MOSEI Unaligned (test)
82.4Accuracy (2-Class)TBJE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TBJEModality=L + A2020.06 | 82.4 | 45.5 | — | — | — | |
| Mu-NetModality=not specified2020.06 | 82.1 | — | — | — | — | |
| TBJEModality=L2020.06 | 81.9 | 44.2 | — | — | — | |
| MoNIGAlignment=Unaligned2021.11 | 81.7 | 50.7 | 81.9 | 0.598 | 0.693 | |
| MoNIGAlignment=Unaligned, Feature Mode=pseudo2021.11 | 81.7 | 49.5 | 82 | 0.612 | 0.673 | |
| MulT2019.06 | 81.6 | 50.7 | 81.6 | 0.591 | 0.694 | |
| TBJEModality=L + A + V2020.06 | 81.5 | 44.4 | — | — | — | |
| EvidentialAlignment=Unaligned2021.11 | 81.3 | 49.2 | 81.7 | 0.608 | 0.676 | |
| GaussianAlignment=Unaligned2021.11 | 81 | 48.8 | 81.3 | 0.618 | 0.676 | |
| MCTNAlignment Protocol=CTC2019.06 | 79.3 | 48.2 | 79.7 | 0.631 | 0.645 | |
| RAVENAlignment=Unaligned, CTC=true2021.11 | 79.3 | 48.2 | 79.7 | 0.631 | 0.645 | |
| LF-LSTMFusion Strategy=Late Fusion, Alignment Protocol=Manual/Unaligned2019.06 | 77.5 | 48.8 | 78.2 | 0.624 | 0.656 | |
| LF-LSTMAlignment=Unaligned, CTC=false2021.11 | 77.5 | 48.8 | 78.2 | 0.624 | 0.656 | |
| G-MFNModality=not specified2020.06 | 76.9 | 45 | — | — | — | |
| EF-LSTMFusion Strategy=Early Fusion, Alignment Protocol=CTC2019.06 | 76.1 | 46.3 | 75.9 | 0.68 | 0.585 | |
| EF-LSTMAlignment=Unaligned, CTC=true2021.11 | 76.1 | 46.3 | 75.9 | 0.68 | 0.585 | |
| RAVENAlignment Protocol=CTC2019.06 | 75.4 | 45.5 | 75.7 | 0.664 | 0.599 | |
| MCTNAlignment=Unaligned, CTC=true2021.11 | 75.4 | 45.5 | 75.7 | 0.664 | 0.599 |