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cs.CV updates on arXiv.org

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RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association
Abdul Hannan, Furqan Malik, Hina Jabbar, Syed Suleman Sadiq, Mub · 2025-12-02 · via cs.CV updates on arXiv.org

Face-voice association in multilingual environment challenge 2026 aims to investigate the face-voice association task in multilingual scenario. The challenge introduces English-German face-voice pairs to be utilized in the evaluation phase. To this end, we revisit the fusion and orthogonal projection for face-voice association by effectively focusing on the relevant semantic information within the two modalities. Our method performs favorably on the English-German data split and ranked 3rd in the FAME 2026 challenge by achieving the EER of 33.1.

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