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Sentiment Intensity Prediction on CMU-MOSI (test)

Sentiment Intensity Prediction on CMU-MOSI (test)

0.757SRCCJT-EMOE

Updated 8mo ago

Evaluation results

Method	Links
JT-EMOE2026.02		0.757	1.108	3.078

State-of-the-art paper

JT-EMOE

BriMA: Bridged Modality Adaptation for Multi-Modal Continual Action Quality Assessment

Dataset

MOSI

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Related benchmarks

Action Quality Assessment on FS1000 Modality Missing Rate β=10% (supplementary)Sentiment Intensity Prediction on CMU MOSI beta = 10% (test)Sentiment Intensity Prediction on CMU MOSI (beta=25%, test)Sentiment Intensity Prediction on CMU MOSI beta = 50% (test)Action Quality Assessment on FS1000 Modality Missing Rate β=25% (supplementary)

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