Invention Grant
- Patent Title: Explanatory visualizations for object detection
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Application No.: US16876540Application Date: 2020-05-18
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Publication No.: US11227159B2Publication Date: 2022-01-18
- Inventor: Rajiv Bhawanji Jain , Vlad Ion Morariu , Vitali Petsiuk , Varun Manjunatha , Ashutosh Mehra , Vicente Ignacio Ordonez Roman
- 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: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06T7/70 ; G06T11/00 ; G06K9/46

Abstract:
Introduced here are computer programs and associated computer-implemented techniques for creating visualizations to explain the outputs produced by models designed for object detection. To accomplish this, a graphics editing platform can obtain a reference output that identifies a region of pixels in a digital image that allegedly contains an object. Then, the graphics editing platform can compute the similarity between the reference output and a series of outputs generated by a model upon being applied to masked versions of the digital image. A visualization component can be produced based on the similarity.
Public/Granted literature
- US20210357644A1 EXPLANATORY VISUALIZATIONS FOR OBJECT DETECTION Public/Granted day:2021-11-18
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