Metric: F1 (higher is better)
| # | Model↕ | F1▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | MMML | 90.35 | No | Multimodal Multi-loss Fusion Network for Sentime... | 2023-08-01 | Code |
| 2 | MCEN | 87.48 | No | 10,000+ Times Accelerated Robust Subset Selectio... | 2014-09-12 | - |
| 3 | UniMSE | 86.42 | No | UniMSE: Towards Unified Multimodal Sentiment Ana... | 2022-11-21 | Code |
| 4 | UniVL + MELTR | 85.4 | No | MELTR: Meta Loss Transformer for Learning to Fin... | 2023-03-23 | Code |
| 5 | TEASEL | 85 | Yes | TEASEL: A Transformer-Based Speech-Prefixed Lang... | 2021-09-12 | Code |
| 6 | VAE-AMDT | 84.2 | No | - | - | - |
| 7 | MMIM | 84 | No | Improving Multimodal Fusion with Hierarchical Mu... | 2021-09-01 | Code |
| 8 | self-M | 82.68 | No | Improving Multimodal Fusion with Hierarchical Mu... | 2021-09-01 | Code |
| 9 | MAG-BERT* | 82.5 | No | Improving Multimodal Fusion with Hierarchical Mu... | 2021-09-01 | Code |