Invention Grant
- Patent Title: Verifying a target object based on confidence coefficients generated by trained models
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Application No.: US17137625Application Date: 2020-12-30
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Publication No.: US11366984B1Publication Date: 2022-06-21
- Inventor: Jiacheng Ni , Jinpeng Liu , Qiang Chen , Zhen Jia
- Applicant: EMC IP Holding Company LLC
- Applicant Address: US MA Hopkinton
- Assignee: EMC IP Holding Company LLC
- Current Assignee: EMC IP Holding Company LLC
- Current Assignee Address: US MA Hopkinton
- Agency: Ryan, Mason & Lewis, LLP
- Priority: CN202011382882.4 20201130
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06V30/24 ; G06V40/70

Abstract:
Embodiments include a method, an electronic device, and a computer program product for information processing. In an example embodiment, a method for information processing includes: acquiring, at a first device, a first feature associated with a target object; applying the first feature to a trained first model deployed at the first device to determine a first confidence coefficient, the first confidence coefficient being associated with probabilities that the first model determines the target object as a real object and as a false object; if the first confidence coefficient is lower than a first threshold confidence coefficient, sending a request for verifying the target object to a second device, the second device being deployed with a trained second model for verifying the target object, and the second model being more complex than the first model; and updating the first model based on a response to the request.
Public/Granted literature
- US20220171998A1 VERIFYING A TARGET OBJECT BASED ON CONFIDENCE COEFFICIENTS GENERATED BY TRAINED MODELS Public/Granted day:2022-06-02
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