Home
Research
Members
- Our Team
- Prof. Dr. Gözde Ünal
Publications
- Papers
News & Events
Future Member

Home
Research
Members
- Our Team
- Prof. Dr. Gözde Ünal
Publications
- Papers
News & Events
Future Member

Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

Home/
Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

Post by: Batuhan Faik Derinbay
November 18, 2020
Comments off

Categories:

Post navigation

About ITU Vision Lab.

The development of computer vision research is faster than ever before. It has never attracted so society’s attention. We believe AI-based technology will be the main assistant of humanity in the future.

Find Us

Address

Istanbul Technical University, Ayazaga Campus, Faculty of Computer and Informatics Engineering, Room 1203

Search for:

Recent Comments

Archives

Categories

No categories

Calendar

November 2022
M	T	W	T	F	S	S
	1	2	3	4	5	6
7	8	9	10	11	12	13
14	15	16	17	18	19	20
21	22	23	24	25	26	27
28	29	30

Address

Istanbul Technical University, Ayazaga Campus, Faculty of Computer and Informatics Engineering, Room 1203

Reşitpaşa, 34467 Sarıyer/Istanbul
Turkey

Contact

Reach us at:

oncelf@itu.edu.tr

News & Events

“How to Combine Variational Bayesian Networks in Federated Learning” paper has been accepted by NeurIPS 2022 Workshop on Federated Learning
21 Oct 2022
Prof. Gozde Unal is among the 2022 jury members of the Falling Walls Foundation
21 Jul 2022
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
25 Nov 2021

View all News & Events

Copyright© 2020 - Istanbul Technical University Vision Laboratory

Developed and Managed by: Researchers of ITU Vision Lab.