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US Patent 11748887 Segmentation using an unsupervised neural network training technique

Patent 11748887 was granted and assigned to Nvidia on September, 2023 by the United States Patent and Trademark Office.

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Contents

TimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
NVIDIA
NVIDIA
Current Assignee
NVIDIA
NVIDIA
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11748887
Patent Inventor Names
Sifei Liu
Pavlo Molchanov
Varun Jampani
Jan Kautz
Wei-Chih Hung
Date of Patent
September 5, 2023
Patent Application Number
16378464
Date Filed
April 8, 2019
Patent Citations
‌
US Patent 10782691 Deep learning and intelligent sensing system integration
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US Patent 10803325 Autonomous vehicle lane boundary detection systems and methods
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US Patent 10891723 Realistic neural network based image style transfer
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US Patent 10936907 Training a deep learning system for maritime applications
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US Patent 11003945 Localization using semantically segmented images
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US Patent 10990645 System and methods for performing automatic data aggregation
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US Patent 9730643 Method and system for anatomical object detection using marginal space deep neural networks
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US Patent 10636141 Adversarial and dual inverse deep learning networks for medical image analysis
...
Patent Primary Examiner
‌
Amir Alavi
CPC Code
‌
G06K 9/6253
‌
G06T 7/143
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G06T 7/10
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G06T 7/11
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G06T 7/12
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G06T 7/174
‌
G06T 9/002
‌
G06T 2207/20081
...

Systems and methods to detect one or more segments of one or more objects within one or more images based, at least in part, on a neural network trained in an unsupervised manner to infer the one or more segments. Systems and methods to help train one or more neural networks to detect one or more segments of one or more objects within one or more images in an unsupervised manner.

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