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pro vyhledávání: '"Sobhdel, Amirreza"'
In this paper, we study the performance of few-shot learning, specifically meta learning empowered few-shot relation networks, over supervised deep learning and conventional machine learning approaches in the problem of Sound Source Distance Estimati
Externí odkaz:
http://arxiv.org/abs/2109.10561
In this paper, we study the performance of few-shot learning, specifically meta learning empowered few-shot relation networks, over classic supervised learning in the problem of sound source distance estimation(SSDE). In previous research on deep sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6e96762435c0a0cf03baeb9a7418eed