公开(公告)号：US20220180125A1

公开(公告)日：2022-06-09

申请号：US17130966

申请日：2020-12-22

Applicant: NVIDIA Corporation

Inventor： Yichun Shen ,  Siyi Li ,  Yuhong Wen ,  Clement Farabet

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06F9/48 ,  G16H30/40 ,  G06K9/00

Abstract: Apparatuses, systems, and techniques to train a machine-learned model. In at least one embodiment, a plurality of training clients each obtain an exclusive right to update a model in turn, and each client trains said model with training data not accessible to other training clients.

公开(公告)号：US12175739B2

公开(公告)日：2024-12-24

申请号：US17149437

申请日：2021-01-14

Applicant: NVIDIA Corporation

Inventor： Yichun Shen ,  Wanli Jiang ,  Junghyun Kwon ,  Siyi Li ,  Minwoo Park ,  Sangmin Oh

IPC: G06V10/94 ,  G06F18/21 ,  G06V10/22 ,  G06V10/40 ,  G06V10/46

Abstract: Apparatuses, systems, and techniques to perform non-maximum suppression (NMS) in parallel to remove redundant bounding boxes. In at least one embodiment, two or more parallel circuits to perform two or more portions of a NMS algorithm in parallel to remove one or more redundant bounding boxes corresponding to one or more objects within one or more digital images.

公开(公告)号：US20230325656A1

公开(公告)日：2023-10-12

申请号：US17735666

申请日：2022-05-03

Applicant: NVIDIA Corporation

Inventor： Rundong Li ,  Yichun Shen ,  Abel Brown ,  Jose Manuel Alvarez Lopez ,  Siyi Li

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06N3/0454

Abstract: Apparatuses, systems, and techniques to cause one or more portions of one or more neural networks to be trained. In at least one embodiment, one or more portions of one or more neural networks are caused to be trained by, for example, iteratively adjusting precision of weight parameters associated with the one or more portions based, at least in part, on one or more performance metrics of the one or more portions.

公开(公告)号：US20220222477A1

公开(公告)日：2022-07-14

申请号：US17149437

申请日：2021-01-14

Applicant: NVIDIA Corporation

Inventor： Yichun Shen ,  Wanli Jiang ,  Junghyun Kwon ,  Siyi Li ,  Minwoo Park ,  Sangmin Oh

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/20 ,  G06K9/46

Abstract: Apparatuses, systems, and techniques to perform non-maximum suppression (NMS) in parallel to remove redundant bounding boxes. In at least one embodiment, two or more parallel circuits to perform two or more portions of a NMS algorithm in parallel to remove one or more redundant bounding boxes corresponding to one or more objects within one or more digital images.

公开(公告)号：US20220318559A1

公开(公告)日：2022-10-06

申请号：US17356224

申请日：2021-06-23

Applicant: NVIDIA Corporation

Inventor： Yichun Shen ,  Wanli Jiang ,  Junghyun Kwon ,  Siyi Li ,  Sangmin Oh ,  Minwoo Park

IPC: G06K9/00 ,  G06T7/194 ,  G06N3/04 ,  G06N20/00 ,  G06K9/66

Abstract: Apparatuses, systems, and techniques to identify bounding boxes of objects with in an image. In at least one embodiment, bounding boxes are determined in an image using an intersection over union threshold that is based at least in part on a size of an object.

公开(公告)号：US20220222480A1

公开(公告)日：2022-07-14

申请号：US17160271

申请日：2021-01-27

Applicant: NVIDIA Corporation

Inventor： Wanli Jiang ,  Yichun Shen ,  Junghyun Kwon ,  Siyi Li ,  Sangmin Oh ,  Minwoo Park

IPC: G06K9/20 ,  G06K9/00 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to generate bounding box information. In at least one embodiment, for example, bounding box information is generated based, at least in part, on a plurality of candidate bounding box information.