公开(公告)号：US11783230B2

公开(公告)日：2023-10-10

申请号：US17587948

申请日：2022-01-28

Applicant: NVIDIA CORPORATION

Inventor： Eric Todd Brower

IPC: G06N3/04 ,  G06N20/00 ,  G06N3/08 ,  G06F18/214 ,  G06F18/21 ,  G06V10/764 ,  G06V20/52 ,  G06Q50/26

CPC classification number: G06N20/00 ,  G06F18/217 ,  G06F18/2148 ,  G06N3/04 ,  G06N3/08 ,  G06V10/764 ,  G06V20/52 ,  G06Q50/265

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.

公开(公告)号：US20220156520A1

公开(公告)日：2022-05-19

申请号：US17587948

申请日：2022-01-28

Applicant: NVIDIA CORPORATION

Inventor： Eric Todd Brower

IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06V10/22

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.

公开(公告)号：US11250296B2

公开(公告)日：2022-02-15

申请号：US16521328

申请日：2019-07-24

Applicant: NVIDIA Corporation

Inventor： Eric Todd Brower

IPC: G06N3/04 ,  G06K9/62 ,  G06K9/20 ,  G06N3/08 ,  G06Q50/26

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.

公开(公告)号：US20250013925A1

公开(公告)日：2025-01-09

申请号：US18891368

申请日：2024-09-20

Applicant: NVIDIA Corporation

Inventor： Eric Todd Brower

IPC: G06N20/00 ,  G06F18/21 ,  G06F18/214 ,  G06N3/04 ,  G06N3/08 ,  G06Q50/26 ,  G06V10/764 ,  G06V20/52

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.

公开(公告)号：US12112247B2

公开(公告)日：2024-10-08

申请号：US18476932

申请日：2023-09-28

Applicant: NVIDIA Corporation

Inventor： Eric Todd Brower

IPC: G06N3/04 ,  G06F18/21 ,  G06F18/214 ,  G06N3/08 ,  G06N20/00 ,  G06V10/764 ,  G06V20/52 ,  G06Q50/26

CPC classification number: G06N20/00 ,  G06F18/2148 ,  G06F18/217 ,  G06N3/04 ,  G06N3/08 ,  G06V10/764 ,  G06V20/52 ,  G06Q50/265

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.

公开(公告)号：US20210027103A1

公开(公告)日：2021-01-28

申请号：US16521328

申请日：2019-07-24

Applicant: NVIDIA Corporation

Inventor： Eric Todd Brower

IPC: G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06K9/20

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.