Learning apparatus, learning method, and recording medium

    公开(公告)号:US12154317B2

    公开(公告)日:2024-11-26

    申请号:US17760826

    申请日:2019-09-25

    Abstract: The learning apparatus classifies target domain data into (N-c) classes based on unique features of the target domain data, classifies source domain data into N classes based on unique features of the source domain data, and classifies the target domain data and the source domain data into the N classes based on common features of the target domain data and the source domain data. Also, the learning apparatus calculates a first distance between the common features of the target domain data and the source domain data, and calculates a second distance between the unique features of the target domain data and the source domain data. Next, the learning apparatus updates parameters of a common feature extraction unit based on the first distance, and updates parameters of a target domain feature extraction unit and a source domain feature extraction unit based on the second distance.

    Image processing system, image processing device, image processing method, and computer-readable medium

    公开(公告)号:US11748977B2

    公开(公告)日:2023-09-05

    申请号:US17438632

    申请日:2019-03-22

    CPC classification number: G06V10/766 G06T7/20 G06V10/764 G06V10/82

    Abstract: A system includes: a sequential image string input unit configured to input a sequential image string having sequentiality; a reference image selection unit configured to select one or more images from the sequential image string as reference images; a variation calculation unit configured to select an adjacent reference image adjacent to the reference image from the sequential image string and calculate a variation between the reference image and the adjacent reference image; an image information regression unit configured to calculate class confidence by regression processing with the reference image as an input; a difference image information regression unit configured to calculate class confidence by regression processing with the variation as an input; a confidence integration unit configured to integrate class confidence calculated by the image information regression unit and class confidence calculated by the difference image information regression unit; and an output unit configured to output the integrated class confidence.

    VISUALIZED IMAGE DISPLAY DEVICE
    10.
    发明申请

    公开(公告)号:US20220375138A1

    公开(公告)日:2022-11-24

    申请号:US17789962

    申请日:2020-01-10

    Abstract: A visualized image display device includes an acquisition means for acquiring time-series feature data in which time-series data of a feature of an object in a video and an object ID are associated with each other, and classification data in which the object ID and a class ID labeled to the object are associated with each other; a selection means for selecting a class ID to be visualized, and a display control means for acquiring the object ID associated with the selected class ID from the classification data, acquiring time-series data associated with the acquired object ID from the time-series feature data, and on the basis of the acquired time-series data, displaying a feature image representing a temporal change of the feature of the object having the selected class ID, on a display unit.

Patent Agency Ranking