Invention Grant
- Patent Title: Detecting objects using a weakly supervised model
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Application No.: US15921492Application Date: 2018-03-14
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Publication No.: US10740647B2Publication Date: 2020-08-11
- Inventor: Delun Du , Zhe Lin , Baldo Faieta
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06K9/62 ; G06K9/20 ; G06K9/46 ; G06N3/04

Abstract:
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.
Public/Granted literature
- US20190286932A1 DETECTING OBJECTS USING A WEAKLY SUPERVISED MODEL Public/Granted day:2019-09-19
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