Patents by Inventor Eric Todd Brower

Eric Todd Brower 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).

  • AUTOMATIC GENERATION OF GROUND TRUTH DATA FOR TRAINING OR RETRAINING MACHINE LEARNING MODELS
    Publication number: 20240020580
    Abstract: In various examples, object detections of a machine learning model are leveraged to automatically generate new ground truth data for images captured at different perspectives. The machine learning model may generate a prediction of a detected object at the different perspective, and an object tracking algorithm may be used to track the object through other images in a sequence of images where the machine learning model may not have detected the object. New ground truth data may be generated as a result of the object tracking algorithms outputs, and the new ground truth data may be used to retrain or update the machine learning model, train a different machine learning model, or increase the robustness of a ground truth data set that may be used for training machine learning models from various perspectives.
    Type: Application
    Filed: September 28, 2023
    Publication date: January 18, 2024
    Inventor: Eric Todd Brower
  • Automatic generation of ground truth data for training or retraining machine learning models
    Patent number: 11783230
    Abstract: In various examples, object detections of a machine learning model are leveraged to automatically generate new ground truth data for images captured at different perspectives. The machine learning model may generate a prediction of a detected object at the different perspective, and an object tracking algorithm may be used to track the object through other images in a sequence of images where the machine learning model may not have detected the object. New ground truth data may be generated as a result of the object tracking algorithms outputs, and the new ground truth data may be used to retrain or update the machine learning model, train a different machine learning model, or increase the robustness of a ground truth data set that may be used for training machine learning models from various perspectives.
    Type: Grant
    Filed: January 28, 2022
    Date of Patent: October 10, 2023
    Assignee: NVIDIA Corporation
    Inventor: Eric Todd Brower
  • AUTOMATIC GENERATION OF GROUND TRUTH DATA FOR TRAINING OR RETRAINING MACHINE LEARNING MODELS
    Publication number: 20220156520
    Abstract: In various examples, object detections of a machine learning model are leveraged to automatically generate new ground truth data for images captured at different perspectives. The machine learning model may generate a prediction of a detected object at the different perspective, and an object tracking algorithm may be used to track the object through other images in a sequence of images where the machine learning model may not have detected the object. New ground truth data may be generated as a result of the object tracking algorithms outputs, and the new ground truth data may be used to retrain or update the machine learning model, train a different machine learning model, or increase the robustness of a ground truth data set that may be used for training machine learning models from various perspectives.
    Type: Application
    Filed: January 28, 2022
    Publication date: May 19, 2022
    Inventor: Eric Todd Brower
  • Automatic generation of ground truth data for training or retraining machine learning models
    Patent number: 11250296
    Abstract: In various examples, object detections of a machine learning model are leveraged to automatically generate new ground truth data for images captured at different perspectives. The machine learning model may generate a prediction of a detected object at the different perspective, and an object tracking algorithm may be used to track the object through other images in a sequence of images where the machine learning model may not have detected the object. New ground truth data may be generated as a result of the object tracking algorithms outputs, and the new ground truth data may be used to retrain or update the machine learning model, train a different machine learning model, or increase the robustness of a ground truth data set that may be used for training machine learning models from various perspectives.
    Type: Grant
    Filed: July 24, 2019
    Date of Patent: February 15, 2022
    Assignee: NVIDIA Corporation
    Inventor: Eric Todd Brower
  • AUTOMATIC GENERATION OF GROUND TRUTH DATA FOR TRAINING OR RETRAINING MACHINE LEARNING MODELS
    Publication number: 20210027103
    Abstract: In various examples, object detections of a machine learning model are leveraged to automatically generate new ground truth data for images captured at different perspectives. The machine learning model may generate a prediction of a detected object at the different perspective, and an object tracking algorithm may be used to track the object through other images in a sequence of images where the machine learning model may not have detected the object. New ground truth data may be generated as a result of the object tracking algorithms outputs, and the new ground truth data may be used to retrain or update the machine learning model, train a different machine learning model, or increase the robustness of a ground truth data set that may be used for training machine learning models from various perspectives.
    Type: Application
    Filed: July 24, 2019
    Publication date: January 28, 2021
    Inventor: Eric Todd Brower