Learning multiple visual domains with residual adapters

There is a growing interest in learning data representations that work well for many different types of problems and data. In this paper, we look in particular at the task of learning a single visual representation that can be successfully utilized in the analysis of very different types of images,...

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Detalhes bibliográficos
Principais autores: Rebuffi, S, Bilen, H, Vedaldi, A
Formato: Conference item
Publicado em: Neural Information Processing Systems 2018