Identification of Novel Classes in Object Class Recognition View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Alon Zweig , Dagan Eshar , Daphna Weinshall

ABSTRACT

For novel class identification we propose to rely on the natural hierarchy of object classes, using a new approach to detect incongruent events. Here detection is based on the discrepancy between the responses of two different classifiers trained at different levels of generality: novelty is detected when the general level classifier accepts, and the specific level classifier rejects. Thus our approach is arguably more robust than traditional approaches to novelty detection, and more amendable to effective information transfer between known and new classes.We present an algorithmic implementation of this approach, show experimental results of its performance, analyze the effect of the underlying hierarchy on the task and show the benefit of using discriminative information for the training of the specific level classifier. More... »

PAGES

47-55

References to SciGraph publications

  • 2008-05. Robust Object Detection with Interleaved Categorization and Segmentation in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2008-05. Efficient Learning of Relational Object Class Models in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • Book

    TITLE

    Detection and Identification of Rare Audiovisual Cues

    ISBN

    978-3-642-24033-1
    978-3-642-24034-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-24034-8_3

    DOI

    http://dx.doi.org/10.1007/978-3-642-24034-8_3

    DIMENSIONS

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