Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot

Article

Abstract: We investigate the role of the loss function in cycle consistency generative adversarial networks (C

Palabras claves:

Conditional cycle consistency generative adversarial networks, Cycle consistency generative adversarial networks, Generative Adversarial Networks, industrial robots, Scarce faulty data augmentation, Sliced Wasserstein distance

Autores:

Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Pu Z., Valente de Oliveira J.

Fuentes:

google

scopus