AIToday
Large Language ModelsarXiv cs.CVPublished: Mar 26, 2026, 13:00 JST

Multimodal AI System Combines Six Encoder Families Including Gemini 2.0 to Recognize Blended Emotions with 32% Accuracy

Multimodal AI System Combines Six Encoder Families Including Gemini 2.0 to Recognize Blended Emotions with 32% Accuracy

System uses late probability fusion of six encoder families: S4D-ViTMoE face encoder, Wav2Vec2 audio features, TimeSformer and VideoMAE body-language encoders, and Gemini Embedding 2.0

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleStudy finds moderate prompt compression cuts AI inference costs by 28%, but aggressive compression backfires by increasing costs despite token reduction