Diffusion-generated video/audio samples weighted by a learned quality scorer are claimed to improve multimodal sentiment analysis on CH-SIMS, CMU-MOSI, and MUStARD.
Title resolution pending
1 Pith paper cite this work, alongside 315 external citations. Polarity classification is still indexing.
1
Pith paper citing it
315
external citations · OpenAlex
fields
cs.LG 1years
2026 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
QASA: Quality-Aware Semantic Augmentation for Robust Multimodal Sentiment Analysis
Diffusion-generated video/audio samples weighted by a learned quality scorer are claimed to improve multimodal sentiment analysis on CH-SIMS, CMU-MOSI, and MUStARD.