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    Creativity Inspired Zero-Shot Learning

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    Elhoseiny_Creativity_Inspired_Zero-Shot_Learning_ICCV_2019_paper.pdf
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    Type
    Conference Paper
    Authors
    Elhoseiny, Mohamed cc
    Elfeki, Mohamed
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/661916
    
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    Abstract
    Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with an inspiration from the psychology of human creativity for producing novel art. We relate ZSL to human creativity by observing that zero-shot learning is about recognizing the unseen and creativity is about creating a likable unseen. We introduce a learning signal inspired by creativity literature that explores the unseen space with hallucinated class-descriptions and encourages careful deviation of their visual feature generations from seen classes while allowing knowledge transfer from seen to unseen classes. Empirically, we show consistent improvement over the state of the art of several percents on the largest available benchmarks on the challenging task or generalized ZSL from a noisy text that we focus on, using the CUB and NABirds datasets. We also show the advantage of our loss on Attribute-based ZSL on three additional datasets (AwA2, aPY, and SUN). Code is available at https://github.com/mhelhoseiny/CIZSL.
    Citation
    Elhoseiny, M., & Elfeki, M. (2019). Creativity Inspired Zero-Shot Learning. 2019 IEEE/CVF International Conference on Computer Vision (ICCV). doi:10.1109/iccv.2019.00588
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    2019 IEEE/CVF International Conference on Computer Vision (ICCV)
    DOI
    10.1109/ICCV.2019.00588
    arXiv
    1904.01109
    Additional Links
    http://openaccess.thecvf.com/content_ICCV_2019/html/Elhoseiny_Creativity_Inspired_Zero-Shot_Learning_ICCV_2019_paper.html
    https://ieeexplore.ieee.org/document/9009042/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9009042
    Relations
    Is Supplemented By:
    • [Software]
      Title: mhelhoseiny/CIZSL: Creativity Inspired Zero-Shot Learning. Publication Date: 2019-08-17. github: mhelhoseiny/CIZSL Handle: 10754/668074
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICCV.2019.00588
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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