公开(公告)号：US20220284582A1

公开(公告)日：2022-09-08

申请号：US17190724

申请日：2021-03-03

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Yufan He ,  Holger Reinhard Roth ,  Can Zhao ,  Daguang Xu

IPC: G06T7/10 ,  G06T7/00 ,  G06N3/04 ,  G06N3/10

Abstract: Apparatuses, systems, and techniques to select a neural network using an amount of memory to be used. In at least one embodiment, a processor includes one or more circuits to cause one or more neural networks to be selected from a plurality of neural networks based, at least in part, on an amount of memory to be used by the one oe more neural networks.

公开(公告)号：US20230021926A1

公开(公告)日：2023-01-26

申请号：US17373309

申请日：2021-07-12

Applicant: NVIDIA Corporation

Inventor： Can Zhao ,  Daguang Xu ,  Holger Reinhard Roth ,  Ziyue Xu ,  Dong Yang ,  Andriy Myronenko ,  Lickkong Tam

IPC: G06T3/40 ,  G06K9/62 ,  G06N3/08 ,  G16H30/20

Abstract: Apparatuses, systems, and techniques to generate one or more images of an object. In at least one embodiment, a technique includes training one or more neural networks to generate one or more images of an object from at least a first image of the object and a second lower-resolution image of the object, where the training includes a comparison of the one or more generated images of the object with the second lower-resolution image of the object.

公开(公告)号：US20240169180A1

公开(公告)日：2024-05-23

申请号：US17990498

申请日：2022-11-18

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Yufan He ,  Ziyue Xu ,  Ali Hatamizadeh ,  Vishwesh Nath ,  Wenqi Li ,  Andriy Myronenko ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04

CPC classification number: G06N3/04

Abstract: Apparatuses, systems, and techniques to generate one or more neural networks. In at least one embodiment, one or more neural networks are generated, based on, for example, one or more convolutional neural network operations and one or more transformer neural network operations.

公开(公告)号：US20230033075A1

公开(公告)日：2023-02-02

申请号：US17374384

申请日：2021-07-13

Applicant: Nvidia Corporation

Inventor： Ziyue Xu ,  Andriy Myronenko ,  Dong Yang ,  Holger Reinhard Roth ,  Can Zhao ,  Xiaosong Wang ,  Daguang Xu

IPC: G06T7/11 ,  G06N3/08 ,  G06N3/04 ,  G06T7/00 ,  G16H30/40 ,  G06K9/62

Abstract: Apparatuses, systems, and techniques are presented to predict annotations for objects in images. In at least one embodiment, boundaries of an object within an image can be identified based, at least in part, on a user-generated outline of only a portion of this object or information about a size of this object provided by a user.

公开(公告)号：US20210383533A1

公开(公告)日：2021-12-09

申请号：US16891368

申请日：2020-06-03

Applicant: NVIDIA Corporation

Inventor： Can Zhao ,  Daguang Xu ,  Wentao Zhu ,  Dong Yang ,  Ziyue Xu

IPC: G06T7/00 ,  G06T11/20

Abstract: In at least one embodiment, an object detection system uses a neural network to identify and/or locate a set of organs in a medical image. In at least one embodiment, when training to identify and/or locate a particular organ, a subset of incompletely-labeled training images is used that excludes training images for which labels associated with particular organ are unavailable.

公开(公告)号：US20240303504A1

公开(公告)日：2024-09-12

申请号：US18124999

申请日：2023-03-22

Applicant: NVIDIA Corporation

Inventor： Ziyue Xu ,  Holger Reinhard Roth ,  Meirui Jiang ,  Wenqi Li ,  Dong Yang ,  Can Zhao ,  Vishwesh Nath ,  Daguang Xu

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: Apparatuses, systems, and techniques to train/use one or more neural networks. In at least one embodiment, a processor comprises one or more circuits to cause neural network training information to be aggregated based, at least in part, on contribution of the neural network training data and one or more performance metrics of the neural network.

公开(公告)号：US20220058466A1

公开(公告)日：2022-02-24

申请号：US16998694

申请日：2020-08-20

Applicant: NVIDIA Corporation

Inventor： Dong Yang ,  Wenqi Li ,  Ziyue Xu ,  Xiaosong Wang ,  Can Zhao ,  Holger Reinhard Roth ,  Daguang Xu

IPC: G06N3/04 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to generate an optimized neural network architecture. In at least one embodiment, various neural network components are used to generate one or more neural network configurations, and each neural network configuration is trained in order to determine an optimal neural network architecture for a training dataset.

公开(公告)号：US20220027672A1

公开(公告)日：2022-01-27

申请号：US16940241

申请日：2020-07-27

Applicant: NVIDIA Corporation

Inventor： Ziyue Xu ,  Xiaosong Wang ,  Dong Yang ,  Holger Reinhard Roth ,  Can Zhao ,  Wentao Zhu ,  Daguang Xu

IPC: G06K9/62 ,  G06K9/34 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to train one or more neural networks to generate labels for unsupervised or partially-supervised data. In at least one embodiment, one or more pseudolabels are generated by a training framework based on available weak annotations for an input medical image, and combined with feature information about said input medical image generated by one or more neural networks to generate a label about said input medical image.

公开(公告)号：US20210374518A1

公开(公告)日：2021-12-02

申请号：US16885170

申请日：2020-05-27

Applicant: NVIDIA Corporation

Inventor： Wentao Zhu ,  Daguang Xu ,  Can Zhao ,  Ziyue Xu ,  Holger Reinhard Roth

IPC: G06N3/08 ,  G06N3/04 ,  G06F9/38 ,  G06K9/62 ,  G06T7/00 ,  G06T7/10

Abstract: Apparatuses, systems, and techniques are described herein to speed up inferencing in a neural network by copying output from one layer of the neural network to another computing resource based on dependencies among layers in the network. In at least one embodiment, a processor comprising one or more circuits causes two or more subsequent layers of one or more neural networks to be performed on separate computing resources from a previous layer of the one or more neural networks.