Learning mid-level features from object hierarchy for image classificationEIWOS

    Cited by: 3|Bibtex|18|

    Applications of Computer Vision, 2014, Pages 235-240.

    Keywords:
    feature extractionimage classificationimage representationlearning (artificial intelligence)binary classifiersview more (7+)

    Abstract:

    We propose a new approach for constructing mid-level visual features for image classification. We represent an image using the outputs of a collection of binary classifiers. These binary classifiers are trained to differentiate pairs of object classes in an object hierarchy. Our feature representation implicitly captures the hierarchical ...More
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