Unsupervised learning of landmarks by descriptor vector exchange

Unsupervised learning of landmarks by descriptor vector exchange

Equivariance to random image transformations is an effective method to learn landmarks of object categories, such as the eyes and the nose in faces, without manual supervision. However, this method does not explicitly guarantee that the learned landmarks are consistent with changes between different...

Полное описание

Библиографические подробности
Главные авторы:	Thewlis, J, Albanie, S, Bilen, H, Vedaldi, A
Формат:	Conference item
Язык:	English
Опубликовано:	IEEE 2020

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