TY - GEN
T1 - Semi-supervised adversarial image-to-image translation
AU - Eusebio, Jose
AU - Demakethepalli Venkateswara, Hemanth
AU - Panchanathan, Sethuraman
N1 - Funding Information:
Acknowledgements. The authors thank Arizona State University and National Science Foundation for their funding support. This material is partially based upon work supported by the National Science Foundation under Grant No. 1116360.
Publisher Copyright:
© 2018, Springer Nature Switzerland AG.
PY - 2018
Y1 - 2018
N2 - Image-to-image translation involves translating images in one domain into images in another domain, while keeping some aspects of the image consistent across the domains. Image translation models that keep the category of the image consistent can be useful for applications like domain adaptation. Generative models like variational autoencoders have the ability to extract latent factors of generation from an image. Based on generative models like variational autoencoders and generative adversarial networks, we develop a semi-supervised image-to-image translation procedure. We apply this procedure to perform image translation and domain adaptation for complex digit datasets.
AB - Image-to-image translation involves translating images in one domain into images in another domain, while keeping some aspects of the image consistent across the domains. Image translation models that keep the category of the image consistent can be useful for applications like domain adaptation. Generative models like variational autoencoders have the ability to extract latent factors of generation from an image. Based on generative models like variational autoencoders and generative adversarial networks, we develop a semi-supervised image-to-image translation procedure. We apply this procedure to perform image translation and domain adaptation for complex digit datasets.
KW - Domain adaptation
KW - Generative adversarial networks
KW - Image-to-image translation
KW - Variational autoencoders
UR - http://www.scopus.com/inward/record.url?scp=85058556095&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058556095&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-04375-9_28
DO - 10.1007/978-3-030-04375-9_28
M3 - Conference contribution
AN - SCOPUS:85058556095
SN - 9783030043742
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 334
EP - 344
BT - Smart Multimedia - 1st International Conference, ICSM 2018, Revised Selected Papers
A2 - Berretti, Stefano
A2 - Basu, Anup
PB - Springer Verlag
T2 - 1st International Conference on Smart Multimedia, ICSM 2018
Y2 - 24 August 2018 through 26 August 2018
ER -