MulT

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

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

Natural Language Processing2 results

Sentiment AnalysisonMOSI
Accuracy· 2019-06-01
83
best: 90.35 (MMML)
SOTA
Multimodal Transformer for Unaligned Multimodal Language Sequences arXiv:1906.00295
Sentiment AnalysisonMOSI
F1 score· 2019-06-01
82.8
best: 90.35 (MMML)
SOTA
Multimodal Transformer for Unaligned Multimodal Language Sequences arXiv:1906.00295