PRIMED improves referring audio-visual segmentation by using a modality prior decoder and competition-aware fusion to adaptively suppress irrelevant modalities.
Clap learn- ing audio concepts from natural language supervision
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PRIMED: Adaptive Modality Suppression for Referring Audio-Visual Segmentation via Biased Competition
PRIMED improves referring audio-visual segmentation by using a modality prior decoder and competition-aware fusion to adaptively suppress irrelevant modalities.