arXiv AI By Youngtaek Oh, Qiyu Wu, Hiromi Wakaki, Junmo Kim, Yuki Mitsufuji

Syn-Omni: Structured Specialization and Progressive Collaboration for Omnimodal Embeddings

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Syn-Omni introduces a structured approach to omnimodal embeddings by separating universal semantics from modality-specific features through Orthogonal Modality-Expert LoRA (OME-LoRA). It further employs Progressive Synergy Routing (PSR) to allow modality experts to first learn modality-specific priors and then gradually collaborate across modalities. Across 81 tasks involving image, video, audio, and audiovisual data, Syn-Omni outperforms existing omnimodal baselines, highlighting the benefits of structured specialization and progressive cross-modal collaboration.

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