Invention Grant
- Patent Title: Reinforcement learning model for labeling spatial relationships between images
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Application No.: US16861124Application Date: 2020-04-28
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Publication No.: US11222237B2Publication Date: 2022-01-11
- Inventor: Tatsunori Taniai
- Applicant: OMRON Corporation
- Applicant Address: JP Kyoto
- Assignee: OMRON Corporation
- Current Assignee: OMRON Corporation
- Current Assignee Address: JP Kyoto
- Agency: Alleman Hall Creasman & Tuttle LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06K9/32 ; G06N3/08

Abstract:
A computing system is provided, including a processor configured to receive a labeling map for a first image. The labeling map may indicate a spatial relationship between a first region of interest included in the first image and a second region of interest included in a second image. At a trained reinforcement learning model, the processor may be further configured to generate an updated labeling map for the first image based on at least the labeling map, the first image, and the second image.
Public/Granted literature
- US20210334592A1 REINFORCEMENT LEARNING MODEL FOR LABELING SPATIAL RELATIONSHIPS BETWEEN IMAGES Public/Granted day:2021-10-28
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