Zohourian, Farnoush; Pauli, Josef:
Enhancement of the Super Pixel-CNN Based Road Segmentation Using Cycle Consistent Adversarial Network
In: Fourteenth International Conference on Machine Vision (ICMV 2021), 8-12 November 2021, Rome, Italy: Fourteenth International Conference on Machine Vision (ICMV 2021) / Osten, Wolfgang; Nikolaev, Dmitry P.; Zhou, Jianhong (Eds.). - Fourteenth International Conference on Machine Vision (ICMV 2021), 8-12 November 2021, Rome, Italy - Bellingham, Washington, USA: SPIE, 2022 - (Proceedings of SPIE ; 12084), Article 120840D
2022book article/chapter in Proceedings
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science » Computer Science » Intelligente Systeme
Title in English:
Enhancement of the Super Pixel-CNN Based Road Segmentation Using Cycle Consistent Adversarial Network
Author:
Zohourian, Farnoush
;Pauli, JosefUDE
GND
1160971668
LSF ID
10142
ORCID
0000-0003-0363-6410ORCID iD
Other
connected with university
Year of publication:
2022
DOI
10.1117/12.2623653
Scopus ID
85134343318
Language of text:
English
Appears in
Fourteenth International Conference on Machine Vision (ICMV 2021)
Conference
Fourteenth International Conference on Machine Vision (ICMV 2021), 8-12 November 2021, Rome, Italy
Editor:
Osten, Wolfgang;Nikolaev, Dmitry P.;Zhou, Jianhong
Place of publication:
Bellingham, Washington, USA
Publisher:
SPIE
Year of publication:
2022
in:
Article 120840D
ISBN
9781510650442
ISBN
9781510650459
ISSN
1996-756X Show availability online & print
ISSN
0277-786X Show availability online & print
PPN:
1796342084
In Series
Proceedings of SPIE
Place of publication:
Bellingham, Wash.
Publisher:
SPIE
in:
Vol. 12084 (2022)
PPN:
551178795
ZDB ID
2398361-9
Keyword, Topic:
CNN ; Conditional Adversarial Network ; CycleGAN ; Deep learning ; Road Segmentation ; Semantic Segmentation ; Super-pixel ; un(semi)-supervised method