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Yeats et al., 2022 - Google Patents

Nashae: Disentangling representations through adversarial covariance minimization

Yeats et al., 2022

View PDF
Document ID
11326949042914417761
Author
Yeats E
Liu F
Womble D
Li H
Publication year
Publication venue
European Conference on Computer Vision

External Links

Snippet

We present a self-supervised method to disentangle factors of variation in high-dimensional data that does not rely on prior knowledge of the underlying variation profile (eg, no assumptions on the number or distribution of the individual latent variables to be extracted) …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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