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  • Extracting gradient features from neural networks
    Patent number: 9792492
    Abstract: A method for extracting a representation from an image includes inputting an image to a pre-trained neural network. The gradient of a loss function is computed with respect to parameters of the neural network, for the image. A gradient representation is extracted for the image based on the computed gradients, which can be used, for example, for classification or retrieval.
    Type: Grant
    Filed: July 7, 2015
    Date of Patent: October 17, 2017
    Assignee: XEROX CORPORATION
    Inventors: Albert Gordo Soldevila, Adrien Gaidon, Florent C. Perronnin