Abstract: Audio-visual target speaker extraction (AV-TSE) aims to extract the specific person's speech from the audio mixture given auxiliary visual cues. Previous methods usually search for the ...
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In this paper, we propose a new multi-modal task, termed audio-visual instance segmentation (AVIS), which aims to simultaneously identify, segment and track individual sounding object instances in ...
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Abstract: Audio-visual zero-shot learning (ZSL) leverages both video and audio information for model training, aiming to classify new video categories that were not seen during the training. However, ...