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US Patent 9619735 Pure convolutional neural network localization

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Patent Citations Received
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US Patent 11948070 Hardware implementation of a convolutional neural network
1
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US Patent 11928866 Neural networks for object detection and characterization
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Patent abstract

An approach is provided in which a knowledge manager processes an image using a convolutional neural network. The knowledge manager generates a pixel-level heat map of the image that includes multiple decision points corresponding to multiple pixels of the image. The knowledge manager analyzes the pixel-level heat map and detects sets of decision points that correspond to target objects. In turn, the knowledge manager marks regions of the heat map corresponding to the detected sets of per-pixel decision points, each of the regions indicating a location of the target objects.

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Patent Inventor Names
Michael S. Ranzinger1
Nicholas A. Lineback1
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Official Website
https://pdfpiw.uspto.gov/.piw?Docid=09619735
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US Patent 09619735 Pure convolutional neural network localization US Patent 9619735 Pure convolutional neural network localization

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Patent Number
09619735
Patent Number
9619735
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Website URL
https://pdfpiw.uspto.gov/.piw?Docid=09619735
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 US Patent 09619735 Pure convolutional neural network localization

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Is a
Patent
Patent
Patent jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent number
09619735
Date of patent
April 11, 2017
Patent application number
15176328
Date Filed
June 8, 2016
Patent primary examiner
‌
Alex Liew

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