Patents by Inventor Gui Sik KIM

Gui Sik KIM 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).

  • Publication number: 20250148270
    Abstract: There is provided a training method of a multi-task integrated deep learning model. A multi-task integrated deep learning model training method according to an embodiment may generate training data for a plurality of visual intelligence tasks from visual data in a batch, and may train a multi-task integrated deep learning model which performs a plurality of visual intelligence tasks by using the generated training data. Accordingly, training data for training an integrated deep learning model which performs various visual intelligence tasks is generated in a batch through multi-data conversion kernels, so that appropriate training data for performing multiple tasks may be easily obtained and effective training of a multi-task integrated deep learning model is possible.
    Type: Application
    Filed: April 24, 2024
    Publication date: May 8, 2025
    Applicant: Korea Electronics Technology Institute
    Inventors: Choong Sang CHO, Gui Sik KIM, Ju Hong YOON, Young Han LEE
  • Publication number: 20250095341
    Abstract: There are provided a method and a system for acquiring visual explanation information independent of the purpose, type, and structure of a visual intelligence model. The visual explanation information acquisition system of the visual intelligence model according to an embodiment may input N transformed images which are generated by diversifying an input image to a deep learning-based visual intelligence model and may acquire outputted results, may generate attributes of the visual intelligence model from the acquired results, may derive, from losses of the visual intelligence model which are calculated from the generated attributes, basic data for generating a visual explanation map for visually explaining a result derivation rationale of the visual intelligence model, and may generate a visual explanation map from the derived basic data.
    Type: Application
    Filed: June 13, 2024
    Publication date: March 20, 2025
    Applicant: Korea Electronics Technology Institute
    Inventors: Choong Sang CHO, Young Han LEE, Gui Sik KIM, Tae Woo KIM
  • Publication number: 20240394546
    Abstract: There is provided a learning method and system of a backbone network for visual intelligence based on self-supervised learning and multi-head. A network learning system according to an embodiment generates a plurality of first modified vectors by modifying a first feature vector outputted from a teacher network, generates a plurality of second modified vectors by modifying a second feature vector outputted from a student network, calculates a loss by using the first modified vectors and the second modified vectors, and optimizes parameters of the student network. Accordingly, the effect of learning by knowledge distillation may be enhanced by training the backbone network for visual intelligence like group learning is performed by various teacher networks and student networks.
    Type: Application
    Filed: July 24, 2023
    Publication date: November 28, 2024
    Applicant: Korea Electronics Technology Institute
    Inventors: Choong Sang CHO, Young Han LEE, Ju Hong YOON, Gui Sik KIM