Switchable Whitening for Deep Representation Learning

    ICCV, pp. 1863-1871, 2019.

    Cited by: 8|Bibtex|Views55|Links
    EI

    Abstract:

    Normalization methods are essential components in convolutional neural networks (CNNs). They either standardize or whiten data using statistics estimated in predefined sets of pixels. Unlike existing works that design normalization techniques for specific tasks, we propose Switchable Whitening (SW), which provides a general form unifyin...More

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