The PSG challenge: towards comprehensive scene understanding

The Panoptic Scene Graph Generation (PSG) challenge evaluates computer vision models to identify relations in images beyond object classification and localization, enabling a deeper understanding of scenes for real-world AI applications.

Detalles Bibliográficos
Autores principales: Yang, Jingkang, Ma, Zheng, Wang, Qixun, Guo, Xiaofeng, Wang, Haofan, Liu, Ziwei, Zhang, Wayne, Xu, Xing, Zhang, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
PERSPECTIVE
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278980/
https://www.ncbi.nlm.nih.gov/pubmed/37342317
http://dx.doi.org/10.1093/nsr/nwad126
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author Yang, Jingkang
Ma, Zheng
Wang, Qixun
Guo, Xiaofeng
Wang, Haofan
Liu, Ziwei
Zhang, Wayne
Xu, Xing
Zhang, Hai
author_facet Yang, Jingkang
Ma, Zheng
Wang, Qixun
Guo, Xiaofeng
Wang, Haofan
Liu, Ziwei
Zhang, Wayne
Xu, Xing
Zhang, Hai
author_sort Yang, Jingkang
collection PubMed
description The Panoptic Scene Graph Generation (PSG) challenge evaluates computer vision models to identify relations in images beyond object classification and localization, enabling a deeper understanding of scenes for real-world AI applications.
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spelling pubmed-102789802023-06-20 The PSG challenge: towards comprehensive scene understanding Yang, Jingkang Ma, Zheng Wang, Qixun Guo, Xiaofeng Wang, Haofan Liu, Ziwei Zhang, Wayne Xu, Xing Zhang, Hai Natl Sci Rev PERSPECTIVE The Panoptic Scene Graph Generation (PSG) challenge evaluates computer vision models to identify relations in images beyond object classification and localization, enabling a deeper understanding of scenes for real-world AI applications. Oxford University Press 2023-05-04 /pmc/articles/PMC10278980/ /pubmed/37342317 http://dx.doi.org/10.1093/nsr/nwad126 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle PERSPECTIVE
Yang, Jingkang
Ma, Zheng
Wang, Qixun
Guo, Xiaofeng
Wang, Haofan
Liu, Ziwei
Zhang, Wayne
Xu, Xing
Zhang, Hai
The PSG challenge: towards comprehensive scene understanding
title The PSG challenge: towards comprehensive scene understanding
title_full The PSG challenge: towards comprehensive scene understanding
title_fullStr The PSG challenge: towards comprehensive scene understanding
title_full_unstemmed The PSG challenge: towards comprehensive scene understanding
title_short The PSG challenge: towards comprehensive scene understanding
title_sort psg challenge: towards comprehensive scene understanding
topic PERSPECTIVE
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278980/
https://www.ncbi.nlm.nih.gov/pubmed/37342317
http://dx.doi.org/10.1093/nsr/nwad126
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