Learning Disentangled Representations Using Dormant Variations-Reference-Cited by-同舟云学术

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Learning Disentangled Representations Using Dormant Variations

Published:2022-11-26 Issue: Volume: Page:
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Container-title:2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)
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Author:

Palaniappan Kanmani¹,S Ushasukhanya²,Malleswari T.Y.J Naga²,Selvaraj Prabha³,Burugari Vijay Kumar⁴

Affiliation:

1. SRM Institute of Science and Technology,Department of DSBS,Chennai,India

2. SRM Institute of Science and Technology,Department of Networking and Communications,Chennai,India

3. School of Computer Science and Engineering, VIT-AP University,Amaravathi,India

4. Koneru Lakshmaiah Education Foundation, K L University,Department of CSE,Guntur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068346/10068435/10068446.pdf?arnumber=10068446

Reference30 articles.

1. Invertible conditional gans for image editing;guim;ArXiv Preprint,2016

2. Transferable Environment Model With Disentangled Dynamics

3. Densely connected convolutional networks;gao;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

4. U-net: Convolutional networks for biomedical image segmentation;olaf;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

5. Learning disentangled representations in the imaging domain;liu;Medical Image Analysis,2022

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