Patents by Inventor Tobias Gindele

Tobias Gindele has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11783190
    Abstract: A method for ascertaining an explanation map of an image. All those pixels of the image are highlighted which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is being selected in such a way that it selects a smallest possible subset of the pixels of the image as relevant. The explanation map leads to the same classification result as the image when the explanation map is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: October 10, 2023
    Assignee: ROBERT BOSCH GMBH
    Inventors: Joerg Wagner, Tobias Gindele, Jan Mathias Koehler, Jakob Thaddaeus Wiedemer, Leon Hetzel
  • Patent number: 11645828
    Abstract: A method for ascertaining an explanation map of an image, in which all those pixels of the image are changed which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is selected in such a way that a smallest possible subset of the pixels of the image are changed, and the explanation map preferably does not lead to the same classification result as the image when it is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: May 9, 2023
    Assignee: ROBERT BOSCH GMBH
    Inventors: Joerg Wagner, Tobias Gindele, Jan Mathias Koehler, Jakob Thaddaeus Wiedemer, Leon Hetzel
  • Publication number: 20210342653
    Abstract: A method for ascertaining an explanation map of an image, in which all those pixels of the image are changed which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is selected in such a way that a smallest possible subset of the pixels of the image are changed, and the explanation map preferably does not lead to the same classification result as the image when it is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.
    Type: Application
    Filed: July 3, 2019
    Publication date: November 4, 2021
    Inventors: Joerg Wagner, Tobias Gindele, Jan Mathias Koehler, Jakob Thaddaeus Wiedemer, Leon Hetzel
  • Publication number: 20210279529
    Abstract: A method for ascertaining an explanation map of an image. All those pixels of the image are highlighted which are significant for a classification of the image ascertained with the aid of a deep neural network. The explanation map is being selected in such a way that it selects a smallest possible subset of the pixels of the image as relevant. The explanation map leads to the same classification result as the image when the explanation map is supplied to the deep neural network for classification. The explanation map is selected in such a way that an activation caused by the explanation map does not essentially exceed an activation caused by the image in feature maps of the deep neural network.
    Type: Application
    Filed: July 3, 2019
    Publication date: September 9, 2021
    Inventors: Joerg Wagner, Tobias Gindele, Jan Mathias Koehler, Jakob Thaddaeus Wiedemer, Leon Hetzel