Patents by Inventor Mei-En Shao

Mei-En Shao 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).

  • Image recognition method for detection tasks based on single convolutional neural network and image recognition system thereof
    Patent number: 11507776
    Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.
    Type: Grant
    Filed: November 18, 2020
    Date of Patent: November 22, 2022
    Assignee: Industrial Technology Research Institute
    Inventors: De-Qin Gao, Peter Chondro, Mei-En Shao, Shanq-Jang Ruan
  • IMAGE RECOGNITION METHOD AND IMAGE RECOGNITION SYSTEM
    Publication number: 20220114383
    Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.
    Type: Application
    Filed: November 18, 2020
    Publication date: April 14, 2022
    Applicant: Industrial Technology Research Institute
    Inventors: De-Qin Gao, Peter Chondro, Mei-En Shao, Shanq-Jang Ruan