MMLatch

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Sentiment AnalysisonCMU-MOSEI
Accuracy· uses extra data· 2022-01-24
82.4
best: 88.62 (SeMUL-PCD)
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis arXiv:2201.09828
Sentiment AnalysisonCMU-MOSEI
MAE· uses extra data· 2022-01-24
0.7
best: 0.5072 (MMML)
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis arXiv:2201.09828