Invariance Through Latent Alignment

A robot's deployment environment often involves perceptual changes that differ from what it has experienced during training. Standard practices such as data augmentation attempt to bridge this gap by augmenting source images in an effort to extend the support of the training distribution to bet...

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Bibliographische Detailangaben
Hauptverfasser: Yoneda, Takuma, Yang, Ge, Walter, Matthew R, Stadie, Bradly
Format: Artikel
Sprache:eng
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