Patents by Inventor Byeongman LEE

Byeongman LEE 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).

  • Method and system for changing structure of deep learning model based on change in input resolution
    Patent number: 12536441
    Abstract: Disclosed are a method and system for changing a structure of a deep learning model based on a change in resolution of input data. The method of changing a structure of a deep learning model may include generating, by the at least one processor, a plurality of input data having different resolution by performing various resolution changes on input data having given resolution, performing, by the at least one processor, inference on each of the plurality of generated input data through a deep learning model, checking, by the at least one processor, the size of a feature map output by each of layers included in the deep learning model while the inference is performed, and changing, by the at least one processor, the structure of at least one of the layers based on the checked size of the feature map.
    Type: Grant
    Filed: August 11, 2022
    Date of Patent: January 27, 2026
    Assignee: NOTA, INC.
    Inventors: Byeongman Lee, Jae Woong Yun, Minsu Kim, Tae-Ho Kim
  • METHOD AND SYSTEM FOR CHANGING STRUCTURE OF DEEP LEARNING MODEL BASED ON CHANGE IN INPUT RESOLUTION
    Publication number: 20230046448
    Abstract: Disclosed are a method and system for changing a structure of a deep learning model based on a change in resolution of input data. The method of changing a structure of a deep learning model may include generating, by the at least one processor, a plurality of input data having different resolution by performing various resolution changes on input data having given resolution, performing, by the at least one processor, inference on each of the plurality of generated input data through a deep learning model, checking, by the at least one processor, the size of a feature map output by each of layers included in the deep learning model while the inference is performed, and changing, by the at least one processor, the structure of at least one of the layers based on the checked size of the feature map.
    Type: Application
    Filed: August 11, 2022
    Publication date: February 16, 2023
    Applicant: NOTA, INC.
    Inventors: Byeongman LEE, Jae Woong YUN, Minsu KIM, Tae-Ho KIM