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US Patent 11367273 Detecting objects using a weakly supervised model

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
Current Assignee
Adobe Inc.
Adobe Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11367273
Date of Patent
June 21, 2022
Patent Application Number
16919383
Date Filed
July 2, 2020
Patent Citations
‌
US Patent 10740647 Detecting objects using a weakly supervised model
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US Patent 11182408 Generating and applying an object-level relational index for images
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US Patent 10893283 Real-time adaptive video denoiser with moving object detection
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US Patent 10146751 Methods for information extraction, search, and structured representation of text data
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US Patent 10192129 Utilizing interactive deep learning to select objects in digital visual media
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US Patent 10216766 Large-scale image tagging using image-to-topic embedding
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US Patent 10496880 Method and apparatus for comparing objects in images
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US Patent 10713794 Method and system for using machine-learning for object instance segmentation
Patent Citations Received
‌
US Patent 11521310 Image marking method and computing device implementing image marking method
Patent Primary Examiner
‌
Idowu O Osifade

The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

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