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US Patent 12067758 Object discovery in images through categorizing object parts

Patent 12067758 was granted and assigned to Google on August, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120677580
Patent Inventor Names
Adam Roman Kosiorek0
Sara Sabour Rouh Aghdam0
Yee Whye Teh0
Geoffrey E. Hinton0
Date of Patent
August 20, 2024
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Patent Application Number
176137670
Date Filed
May 22, 2020
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Patent Citations
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US Patent 10303979 System and method for classifying and segmenting microscopy images with deep multiple instance learning
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US Patent 7296151 Apparatus, system, and method for sharing a cached security profile in a database environment
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US Patent 8892495 Adaptive pattern recognition based controller apparatus and method and human-interface therefore
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US Patent 9194968 Method for seismic hydrocarbon system analysis
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US Patent 9914213 Deep machine learning methods and apparatus for robotic grasping
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US Patent 10503999 System for detecting salient objects in images
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Patent Primary Examiner
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Yosef Kassa
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CPC Code
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G06N 3/084
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G06V 10/454
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G06V 20/69
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Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting objects in images. One of the methods includes obtaining an input image; processing the input image to generate predicted part feature data, the predicted part feature data comprising, for each of a plurality of possible object parts: a part presence probability representing a likelihood that the possible object part is depicted in the input image, a predicted pose of the possible object part in the input image given that the possible object part is depicted in the input image, and an object part feature vector characterizing the depiction of the possible object part given that the possible object part is depicted in the input image; and processing the predicted part feature data for the plurality of possible object parts to generate an object detection output that identifies one or more objects depicted in the input image.

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