A semi-supervised multimodal sentiment model combining separate intra- and inter-modal masked attention, gated fusion, and top-k pseudo-label self-training reports new state-of-the-art results on CMU-MOSI and CMU-MOSEI.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment Analysis
A semi-supervised multimodal sentiment model combining separate intra- and inter-modal masked attention, gated fusion, and top-k pseudo-label self-training reports new state-of-the-art results on CMU-MOSI and CMU-MOSEI.