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...
Prif Awduron: | Thewlis, J, Albanie, S, Bilen, H, Vedaldi, A |
---|---|
Fformat: | Conference item |
Iaith: | English |
Cyhoeddwyd: |
IEEE
2020
|
Eitemau Tebyg
-
Unsupervised learning of object landmarks by factorized spatial embeddings
gan: Thewlis, J, et al.
Cyhoeddwyd: (2017) -
Modelling and unsupervised learning of symmetric deformable object categories
gan: Thewlis, J, et al.
Cyhoeddwyd: (2018) -
Unsupervised learning of object frames by dense equivariant image labelling
gan: Thewlis, J, et al.
Cyhoeddwyd: (2017) -
Unsupervised learning of object landmarks through conditional image generation
gan: Jakab, T, et al.
Cyhoeddwyd: (2018) -
Learning grimaces by watching TV
gan: Albanie, S, et al.
Cyhoeddwyd: (2016)