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公开(公告)号：US20230145535A1
公开(公告)日：2023-05-11
申请号：US17188338
申请日：2021-03-01
Applicant: NVIDIA Corporation
Inventor： Ali Hatamizadeh , Daguang Xu , Xiaosong Wang , Lickkong Tam , Riddhish Bhalodia
CPC classification number: G16H50/20 , G16H30/40 , G06T7/0012 , G06T7/11
Abstract: Apparatuses, systems, and techniques to train a neural network to infer a condition based on an image. In at least one embodiment, a first portion of a neural network is trained to infer a condition from an image using a first dataset, and a second portion of the neural network is trained using a second dataset.
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公开(公告)号：US20220101113A1
公开(公告)日：2022-03-31
申请号：US17033439
申请日：2020-09-25
Applicant: NVIDIA Corporation
Inventor： Lickkong Tam , Xiaosong Wang , Daguang Xu
IPC: G06N3/08 , G06N3/04 , G06K9/62 , G06F40/263 , G06F40/284 , G16H70/40
Abstract: Apparatuses, systems, and techniques to identify one or more relationships among one or more words using one or more transformer-based language neural networks trained using domain-specific data.
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公开(公告)号：US20220076133A1
公开(公告)日：2022-03-10
申请号：US17013432
申请日：2020-09-04
Applicant: NVIDIA Corporation
Inventor： Dong Yang , Ziyue Xu , Wenqi Li , Andriy Myronenko , Holger Reinhard Roth , Xiaosong Wang , Wentao Zhu , Daguang Xu
Abstract: Apparatuses, systems, and techniques to facilitate global semi-supervised training of neural networks to perform image segmentation related to diagnosis and management of emerging diseases, such as COVID-19. In at least one embodiment, distributed client training frameworks train one or more client neural networks to perform image segmentation according to a local training data set as well as global neural network data aggregated, by one or more central servers, from each of one or more globally distributed client neural networks.
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公开(公告)号：US20230061998A1
公开(公告)日：2023-03-02
申请号：US17459644
申请日：2021-08-27
Applicant: Nvidia Corporation
Inventor： Dong Yang , Andriy Myronenko , Xiaosong Wang , Ziyue Xu , Holger Roth , Daguang Xu
Abstract: Apparatuses, systems, and techniques are presented to select neural networks. In at least one embodiment, one or more first neural networks can be used to select one or more second neural networks, as may be based at least in part upon an inference to be generated by the one or more second neural networks.
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公开(公告)号：US20210374502A1
公开(公告)日：2021-12-02
申请号：US16889652
申请日：2020-06-01
Applicant: NVIDIA Corporation
Inventor： Holger Reinhard Roth , Dong Yang , Wenqi Li , Andriy Myronenko , Wentao Zhu , Ziyue Xu , Xiaosong Wang , Daguang Xu
Abstract: Apparatuses, systems, and techniques to select a nueral network architecture from a plurality of neural networs in a federated learning (FL) settng. In at least one embodiment, a neural network is trained by combining training resutls from different FL computing systesms, where each of the different FL computing systems, for example, trains different portions of the nerual network.
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Patent Agency Ranking
公开(公告)号：US20200293828A1
公开(公告)日：2020-09-17
申请号：US16813673
申请日：2020-03-09
Applicant: NVIDIA Corporation
Inventor： Xiaosong Wang , Ziyue Xu , Dong Yang , Holger Reinhard Roth , Andriy Myronenko , Daguang Xu , Ling Zhang
Abstract: Apparatuses, systems, and techniques to perform training of neural networks using stacked transformed images. In at least one embodiment, a neural network is trained on stacked transformed images and trained neural network is provided to be used for processing images from an unseen domain distinct from a source domain, wherein stacked transformed images are transformed according to transformation aspects related to domain variations.
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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
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.
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公开(公告)号：US20210374547A1
公开(公告)日：2021-12-02
申请号：US16889670
申请日：2020-06-01
Applicant: NVIDIA Corporation
Inventor： Xiaosong Wang , Ziyue Xu , Dong Yang , Lickkong Tam , Daguang Xu
Abstract: Apparatuses, systems, and techniques to select labels of training images to train a network. In at least one embodiment, one or more labels of training images are selected to train a network.
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公开(公告)号：US20210334975A1
公开(公告)日：2021-10-28
申请号：US16856823
申请日：2020-04-23
Applicant: Nvidia Corporation
Inventor： Dong Yang , Holger Roth , Xiaosong Wang , Ziyue Xu , Andriy Myronenko , Daguang Xu
Abstract: Apparatuses, systems, and techniques are presented to predict segmentations for objects in images. In at least one embodiment, a neural network is trained to determine one or more segmentation masks corresponding to one or more objects of one or more digital images based, at least in part, on one or more boundary regions of the one or more objects.
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公开(公告)号：US20230074950A1
公开(公告)日：2023-03-09
申请号：US17410471
申请日：2021-08-24
Applicant: Nvidia Corporation
Inventor： Daguang Xu , Xiaosong Wang , Lickkong Tam , Riddhish Bhalodia , Kevin Lu , Yuhong Wen , Ali Hatmizadeh
Abstract: Apparatuses, systems, and techniques are presented to detect one or more objects in one or more images. In at least one embodiment, one or more neural networks can be used to detect one or more objects in one or more images based, at least in part, on textual descriptions of the one or more objects.
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