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US Patent 10467274 Deep reinforcement learning-based captioning with embedding reward

Patent 10467274 was granted and assigned to Snap! (company) on November, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Snap Inc.
Snap Inc.
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Current Assignee
Snap! (company)
Snap! (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104672740
Patent Inventor Names
Xutao Lv0
Jia Li0
Ning Zhang0
Xiaoyu Wang0
Zhou Ren0
Date of Patent
November 5, 2019
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Patent Application Number
158086170
Date Filed
November 9, 2017
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Patent Citations
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US Patent 10198671 Dense captioning with joint interference and visual context
Patent Citations Received
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US Patent 12102397 Step-based system for providing surgical intraoperative cues
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US Patent 11521132 Method and system for adaptive online meta learning from data streams
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US Patent 11586829 Natural language text generation from a set of keywords using machine learning and templates
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US Patent 11042782 Topic-guided model for image captioning system
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US Patent 11341177 Deep reinforcement learning-based captioning with embedding reward
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US Patent 11361489 Dense captioning with joint interference and visual context
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US Patent 11410023 Lexicographic deep reinforcement learning using state constraints and conditional policies
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US Patent 11417235 Listen, interact, and talk: learning to speak via interaction
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Patent Primary Examiner
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Alex Kok S Liew
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Patent abstract

An image captioning system and method is provided for generating a caption for an image. The image captioning system utilizes a policy network and a value network to generate the caption. The policy network serves as a local guidance and the value network serves as a global and lookahead guidance.

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