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US Patent 10943352 Object shape regression using wasserstein distance

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Patent abstract

One embodiment can provide a system for detecting outlines of objects in images. During operation, the system receives an image that includes at least one object, generates a random noise signal, and provides the received image and the random noise signal to a shape-regressor module, which applies a shape-regression model to predict a shape outline of an object within the received image.

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Patent Inventor Names
Jin Sun0
Raja Bala0
Sricharan Kallur Palli Kumar0
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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=109433520
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 US Patent 10943352 Object shape regression using wasserstein distance

Infobox
Is a
Patent
Patent
Patent jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent number
10943352
Date of patent
March 9, 2021
Patent application number
16222062
Date Filed
December 17, 2018
Patent citations
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US Patent 10497257 Parking lot surveillance with viewpoint invariant object recognition by synthesization and domain adaptation
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US Patent 10614207 Generating captcha images using variations of the same object
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US Patent 10614557 Digital image completion using deep learning
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US Patent 10679046 Machine learning systems and methods of estimating body shape from images
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US Patent 10789755 Artificial intelligence in interactive storytelling
Patent primary examiner
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Michelle M Entezari

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