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Visually grounded few-shot word learning in low-resource settings
April 19, 2024, 4:47 a.m. | Leanne Nortje, Dan Oneata, Herman Kamper
cs.CL updates on arXiv.org arxiv.org
Abstract: We propose a visually grounded speech model that learns new words and their visual depictions from just a few word-image example pairs. Given a set of test images and a spoken query, we ask the model which image depicts the query word. Previous work has simplified this few-shot learning problem by either using an artificial setting with digit word-image pairs or by using a large number of examples per class. Moreover, all previous studies were …
abstract arxiv cs.cl eess.as example few-shot image images low query set simplified speech spoken test type visual word words work
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