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Abstract: Recently, audio-visual speech recognition has attracted increasing attention. However, most existing works only focused on scenarios with two speakers. In this work, we study the effect of ...
In this work, we introduce DINOv, a Visual In-Context Prompting framework for referring and generic segmentation tasks. For visualization and demos, we also recommend trying T-Rex demo link, which is ...
Abstract: The Contrastive Language-Image Pre-Training (CLIP) model, pretrained on large visual text corpora, has demonstrated significant improvements in visual and linguistic tasks and has been ...
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