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ENTITY AH Video Recognition Challenge

AH Video Recognition Challenge

PulseAugur coverage of AH Video Recognition Challenge — every cluster mentioning AH Video Recognition Challenge across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_145743 ·

    CF-Net uses multimodal fusion for ambivalence and hesitancy recognition

    Researchers have developed CF-Net, a deep multimodal network designed to recognize ambivalence and hesitancy in videos. This network utilizes frozen SigLIP2, HuBERT, and DistilBERT backbones to process visual, audio, an…