Patents by Inventor Nguyen Cong KHA

Nguyen Cong KHA 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).

  • Model generation system and model generation method
    Patent number: 12380718
    Abstract: Provided is a model generation system for generating a text line recognition model that recognizes a text line included in a text line image, the model generation system including a processor section, in which the text line recognition model includes a visual feature extractor and a language context relation network, the processor section determines a variable of the language context relation network by acquiring text data for training and thus training the language context relation network by using the acquired text data, determines a variable of the visual feature extractor by training the text line recognition model through the use of a labeled text line image while the variable of the language context relation network is fixed, and generates the text line recognition model while the variable of the language context relation network is set to the determined variable thereof and the variable of the visual feature extractor is set to the determined variable thereof.
    Type: Grant
    Filed: February 17, 2023
    Date of Patent: August 5, 2025
    Assignee: Hitachi, Ltd.
    Inventors: Nguyen Cong Kha, Ryosuke Odate
  • Model Generation System and Model Generation Method
    Publication number: 20230306769
    Abstract: Provided is a model generation system for generating a text line recognition model that recognizes a text line included in a text line image, the model generation system including a processor section, in which the text line recognition model includes a visual feature extractor and a language context relation network, the processor section determines a variable of the language context relation network by acquiring text data for training and thus training the language context relation network by using the acquired text data, determines a variable of the visual feature extractor by training the text line recognition model through the use of a labeled text line image while the variable of the language context relation network is fixed, and generates the text line recognition model while the variable of the language context relation network is set to the determined variable thereof and the variable of the visual feature extractor is set to the determined variable thereof.
    Type: Application
    Filed: February 17, 2023
    Publication date: September 28, 2023
    Inventors: Nguyen Cong KHA, Ryosuke ODATE