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...

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Dades bibliogràfiques
Autors principals:	Thewlis, J, Albanie, S, Bilen, H, Vedaldi, A
Format:	Conference item
Idioma:	English
Publicat:	IEEE 2020

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