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US Patent 11631234 Automatically detecting user-requested objects in images

Patent 11631234 was granted and assigned to Adobe Inc. on April, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
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Current Assignee
Adobe Inc.
Adobe Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116312340
Patent Inventor Names
Scott Cohen0
Zhe Lin0
Mingyang Ling0
Date of Patent
April 18, 2023
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Patent Application Number
165188100
Date Filed
July 22, 2019
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Patent Citations
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US Patent 10410096 Context-based priors for object detection in images
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US Patent 10496880 Method and apparatus for comparing objects in images
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US Patent 10713794 Method and system for using machine-learning for object instance segmentation
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US Patent 10740647 Detecting objects using a weakly supervised model
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US Patent 10893283 Real-time adaptive video denoiser with moving object detection
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US Patent 11010605 Multi-model detection of objects
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US Patent 11055566 Utilizing a large-scale object detector to automatically select objects in digital images
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US Patent 11107219 Utilizing object attribute detection models to automatically select instances of detected objects in images
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Patent Citations Received
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US Patent 12118752 Determining colors of objects in digital images
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US Patent 11972569 Segmenting objects in digital images utilizing a multi-object segmentation model framework
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US Patent 12020414 Utilizing deep neural networks to automatically select instances of detected objects in images
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Patent Primary Examiner
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Sean M Conner
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CPC Code
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G06K 9/623
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G06T 7/0002
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G06T 3/4046
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G06K 9/6267
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G06F 16/535
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The present disclosure relates to an object selection system that accurately detects and optionally automatically selects user-requested objects (e.g., query objects) in digital images. For example, the object selection system builds and utilizes an object selection pipeline to determine which object detection neural network to utilize to detect a query object based on analyzing the object class of a query object. In particular, the object selection system can identify both known object classes as well as objects corresponding to unknown object classes.

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