Article

SUN attribute database: Discovering, annotating, and recognizing scene attributes

Author:

Genevieve PattersonAuthors Info & Claims

CVPR '12: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Pages 2751 - 2758

Published: 16 June 2012 Publication History

Abstract

In this paper we present the first large-scale scene attribute database. First, we perform crowd-sourced human studies to find a taxonomy of 102 discriminative attributes. Next, we build the “SUN attribute database” on top of the diverse SUN categorical database. Our attribute database spans more than 700 categories and 14,000 images and has potential for use in high-level scene understanding and fine-grained scene recognition. We use our dataset to train attribute classifiers and evaluate how well these relatively simple classifiers can recognize a variety of attributes related to materials, surface properties, lighting, functions and affordances, and spatial envelope properties.

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Chen SHou WHong ZDing XSong YYou XLiu TZhang KKrause ABrunskill ECho KEngelhardt BSabato SScarlett J(2023)Evolving semantic prototype improves generative zero-shot learningProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3618590(4611-4622)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.5555/3618408.3618590
Li XZhang YBian SQu YXie YShi ZFan JElkind E(2023)VS-BoostProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/123(1107-1115)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/123
Shen SLi CHu XYang JXie YZhang PGan ZWang LYuan LLiu CKeutzer KDarrel TRohrbach AGao JKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)K-LITEProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3601402(15558-15573)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.5555/3600270.3601402
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Index Terms

SUN attribute database: Discovering, annotating, and recognizing scene attributes
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding

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Published In

CVPR '12: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

June 2012

3800 pages

ISBN:9781467312264

Publisher

IEEE Computer Society

United States

Publication History

Published: 16 June 2012

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Chen SHou WHong ZDing XSong YYou XLiu TZhang KKrause ABrunskill ECho KEngelhardt BSabato SScarlett J(2023)Evolving semantic prototype improves generative zero-shot learningProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3618590(4611-4622)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.5555/3618408.3618590
Li XZhang YBian SQu YXie YShi ZFan JElkind E(2023)VS-BoostProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/123(1107-1115)Online publication date: 19-Aug-2023
https://dl.acm.org/doi/10.24963/ijcai.2023/123
Shen SLi CHu XYang JXie YZhang PGan ZWang LYuan LLiu CKeutzer KDarrel TRohrbach AGao JKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)K-LITEProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3601402(15558-15573)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.5555/3600270.3601402
Li CLiu HLi LZhang PAneja JYang JJin PHu HLiu ZLee YGao JKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)ELEVATERProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3600945(9287-9301)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.5555/3600270.3600945
Wang ZGou YLi JZhang YYang YDemartini GZuccon GCulpepper JHuang ZTong H(2021)Region Semantically Aligned Network for Zero-Shot LearningProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482471(2080-2090)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3482471
Wang LDing ZFu Y(2021)Generic Multi-label Annotation via Adaptive Graph and Marginalized AugmentationACM Transactions on Knowledge Discovery from Data10.1145/345188416:1(1-20)Online publication date: 20-Jul-2021
https://dl.acm.org/doi/10.1145/3451884
Gupta SSharma KDinesh DThenkanidiyoor V(2021)Visual Semantic-Based Representation Learning Using Deep CNNs for Scene RecognitionACM Transactions on Multimedia Computing, Communications, and Applications10.1145/343649417:2(1-24)Online publication date: 11-May-2021
https://dl.acm.org/doi/10.1145/3436494
Oliveira WDorini LMinetto RSilva T(2020)OutdoorSentACM Transactions on Information Systems10.1145/338518638:3(1-28)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3385186
Zhang JGeng YLi QShi Cd'Aquin MDietze SHauff CCurry ECudre Mauroux P(2020)More Than One: A Cluster-Prototype Matching Framework for Zero-Shot LearningProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3411883(1803-1812)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3340531.3411883
Xu XTsang ICao XZhang RLiu C(2019)Learning image-specific attributes by hyperbolic neighborhood graph propagationProceedings of the 28th International Joint Conference on Artificial Intelligence10.5555/3367471.3367596(3989-3995)Online publication date: 10-Aug-2019
https://dl.acm.org/doi/10.5555/3367471.3367596
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The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding

Discovering localized attributes for fine-grained recognition

Instance-based attribute identification in database integration

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