Sentiment Analysis on MOSI

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	MMML	90.35	No	Multimodal Multi-loss Fusion Network for Sentime...	2023-08-01	Code
2	SPECTRA	87.5	No	Speech-Text Dialog Pre-training for Spoken Dialo...	2023-05-19	Code
3	UniMSE	86.9	No	UniMSE: Towards Unified Multimodal Sentiment Ana...	2022-11-21	Code
4	MulT	83	No	Multimodal Transformer for Unaligned Multimodal ...	2019-06-01	Code
5	Multilogue-Net	81.19	No	-	-	Code

#1MMMLSOTA
90.35
Accuracy· 2023-08-01
Multimodal Multi-loss Fusion Network for Sentiment Analysis Code
#2SPECTRASOTA
87.5
Accuracy· 2023-05-19
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment Code
#3UniMSESOTA
86.9
Accuracy· 2022-11-21
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition Code
#4MulTSOTA
83
Accuracy· 2019-06-01
Multimodal Transformer for Unaligned Multimodal Language Sequences Code
#5Multilogue-Net
81.19
Accuracy
No paperCode