Visualization-based disentanglement of latent space
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06223-z
Abstract: In recent years, selecting manipulation of data attributes by changing latent code using auto-encoder has received considerable scholarly attention . However, the representation of the data encoded by the auto-encoder cannot be visually observed. Furthermore,… read more here.
Keywords: space; disentanglement latent; based disentanglement; data attributes ... See more keywords