• Login
    View Item 
    •   DSpace@RPI Home
    • Tetherless World Constellation
    • Tetherless World Publications
    • View Item
    •   DSpace@RPI Home
    • Tetherless World Constellation
    • Tetherless World Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Towards a Face Recognition Model Analyzer

    Author
    Johnson, Matt; Angel, John; McGuinness, Deborah
    Thumbnail
    Other Contributors
    Date Issued
    2020-01-01
    Degree
    Terms of Use
    Metadata
    Show full item record
    URI
    https://conferences.computer.org/icsc/2020/pdfs/ICSC2020-4kHq83YzX5oIJ7FYnOmcZ7/793M1LupH3nQ6up0bie4OD/5LgK8HFog2Hudi0Ovj0u6T.pdf
    Abstract
    Machine learning allows computers to learn a model for a given task, such as face recognition, with a high degree of accuracy, using data. However, after these models are generated, they are often treated as black boxes by developers and the limitations of a model are often unknown to end-users. To address these issues, this paper introduces the Face Recognition Model Analyzer (FRMA) ontology and a semantically enabled Resultset viewer. Together these resources describe image features relevant to face recognition and allow users to explore how well a face recognition model does at classifying images that contain an image feature. We evaluated the ontology and Resultset viewer by loading in the Labeled Faces in the Wild [1] dataset, enriching the images with image tags [2], and exploring two popular face recognition models, Facenet [3] and DLib [4]. Using the FRMA ontology and the Result-set viewer, we discovered several classic face recognition model limitations, such as trouble classifying images with occlusions. This evaluation shows that these resources can discover model limitations which can make face recognition model reuse easier for future users.;
    Description
    pages 234 - 237
    Department
    Relationships
    Access
    Collections
    • Tetherless World Publications

    Browse

    All of DSpace@RPICommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2022  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV