IMAGE COMPRESSION USING OVER-FITTING AND TEXT-TO-IMAGE MODEL

    公开(公告)号:US20250139957A1

    公开(公告)日:2025-05-01

    申请号:US18385548

    申请日:2023-10-31

    Abstract: Train a text-to-image machine learning model by using a training dataset. The training dataset includes images and respective natural language descriptions of those images. The training causes the text-to-image machine learning model to be overfit on the training dataset. Store the trained overfit text-to-image machine learning model. Submit a given natural language description to the stored overfit text-to-image machine learning model. In response to the submitting, receive as output from the overfit text-to-image learning machine learning model an output image. The output image is a reproduction of a corresponding image from the training dataset and corresponds to the submitted natural language description.

    VEHICLE LOCATION DETECTION
    3.
    发明申请

    公开(公告)号:US20200279489A1

    公开(公告)日:2020-09-03

    申请号:US16288151

    申请日:2019-02-28

    Abstract: An embodiment of the invention may include a method, computer program product and computer system for vehicle location detection. The method, computer program product and computer system may include a computing device which may receive image data from an imaging device associated with a vehicle and sensor data from a vehicle sensor device associated with the vehicle. The computing device may detect the vehicle has entered a parking scene based on the received image data. The computing device may detect the surroundings of the vehicle using the imaging device. The computing device may determine the vehicle is parking based on the received sensor data. The computing device may identify a parking location of the vehicle based on the received image data, receive image data and detect the surroundings associated with the identified parking location. The computing device may generate a notification to a user associated with the vehicle.

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