Improving Synthetic to Realistic Semantic Segmentation with Parallel Generative Ensembles for Autonomous Urban Driving

Yining Hua

doi:10.1109/TCDS.2021.3117925

Improving Synthetic to Realistic Semantic Segmentation with Parallel Generative Ensembles for Autonomous Urban Driving

Yining Hua

Centre for Research in Arts and Creative Exchange

Research output: Contribution to journal › Article › peer-review

25 Downloads (Pure)

Abstract

© 2021, The attached document (embargoed until 05/10/2023) is an author produced version of a paper published in IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it.

Original language	English
Journal	IEEE Transactions on Cognitive and Developmental Systems
DOIs	https://doi.org/10.1109/TCDS.2021.3117925
Publication status	Published - 5 Oct 2021

Access to Document

10.1109/TCDS.2021.3117925

Improving synthetic to realistic seantic segmentation AAMAccepted author manuscript, 11 MB

Cite this

@article{1fa0afdfd77b44e2b2477ac006aa210e,

title = "Improving Synthetic to Realistic Semantic Segmentation with Parallel Generative Ensembles for Autonomous Urban Driving",

abstract = "{\textcopyright} 2021, The attached document (embargoed until 05/10/2023) is an author produced version of a paper published in IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it. ",

author = "Yining Hua",

year = "2021",

month = oct,

day = "5",

doi = "10.1109/TCDS.2021.3117925",

language = "English",

journal = "IEEE Transactions on Cognitive and Developmental Systems",

issn = "2379-8920",

publisher = "IEEE Computer Society Press",

}

TY - JOUR

T1 - Improving Synthetic to Realistic Semantic Segmentation with Parallel Generative Ensembles for Autonomous Urban Driving

AU - Hua, Yining

PY - 2021/10/5

Y1 - 2021/10/5

N2 - © 2021, The attached document (embargoed until 05/10/2023) is an author produced version of a paper published in IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it.

AB - © 2021, The attached document (embargoed until 05/10/2023) is an author produced version of a paper published in IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS uploaded in accordance with the publisher’s self-archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it.

U2 - 10.1109/TCDS.2021.3117925

DO - 10.1109/TCDS.2021.3117925

M3 - Article

SN - 2379-8920

JO - IEEE Transactions on Cognitive and Developmental Systems

JF - IEEE Transactions on Cognitive and Developmental Systems

ER -