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US Patent 11556784 Multi-task fusion neural network architecture
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Patent
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Date Filed
November 22, 2019
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Date of Patent
January 17, 2023
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Patent Application Number
16693112
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Patent Citations
US Patent 10643107 Method for neural network training using differences between a plurality of images, and apparatus using the method
US Patent 10453220 Machine-trained network for misalignment-insensitive depth perception
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US Patent 10645368 Method and apparatus for estimating depth of field information
US Patent 10140544 Enhanced convolutional neural network for image segmentation
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US Patent 10380753 Method and apparatus for generating a displacement map of an input dataset pair
Patent Inventor Names
Yingmao Li
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Youngjun Yoo
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Chenchi Luo
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11556784
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Patent Primary Examiner
Yogeshkumar Patel
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CPC Code
G06K 9/6267
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G06V 10/40
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G06T 7/571
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G06N 3/0454
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G06T 2207/20221
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G06N 3/04
0
G06N 3/08
0
G06T 2207/20084
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G06K 9/629
0
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