Targeted style transfer using cycle consistent generative adversarial networks with quantitative analysis of different loss functions1-Reference-Cited by-同舟云学术

Targeted style transfer using cycle consistent generative adversarial networks with quantitative analysis of different loss functions1

Published:2018-12-24 Issue:4 Volume:22 Page:239-247
ISSN:1327-2314
Container-title:International Journal of Knowledge-based and Intelligent Engineering Systems
language:
Short-container-title:KES

Author:

Kaur Mannat¹,Satapathy Swapnil¹,Soundrapandiyan Rajkumar¹,Singh Jivjot²

Affiliation:

1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India

2. Big Data, Simon Fraser University, Burnaby, British Columbia, Canada

Publisher

IOS Press

Subject

Artificial Intelligence,Control and Systems Engineering,Software

Reference15 articles.

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3. Adam, a method for stochastic optimization;Kingma;Proceedings of the 3𝑟𝑑 International Conference for Learning Representations,2015

4. Optimizing feature selection in video-based recognition using Max-Min Ant System for the online video contextual advertisement user-oriented system;Le;Journal of Computer Science,2017

5. What is a good evaluation measure for semantic segmentation;Csurka;The British Machine Vision Association and Society for Pattern Recognition

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