Invention Grant
- Patent Title: Systems for modeling uncertainty in multi-modal retrieval and methods thereof
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Application No.: US16254439Application Date: 2019-01-22
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Publication No.: US10943154B2Publication Date: 2021-03-09
- Inventor: Ahmed Taha , Yi-Ting Chen , Teruhisa Misu , Larry Davis , Xitong Yang
- Applicant: HONDA MOTOR CO., LTD.
- Applicant Address: JP Tokyo
- Assignee: HONDA MOTOR CO., LTD.
- Current Assignee: HONDA MOTOR CO., LTD.
- Current Assignee Address: JP Tokyo
- Agency: Arent Fox LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06K9/00

Abstract:
Multi-modal data representing driving events and corresponding actions related to the driving events can be obtained and used to train a neural network at least in part by using a triplet loss computed for the driving events as a regression loss to determine an embedding of driving event data. In some cases, using the trained neural network, a retrieval request for an input driving event and corresponding action can be processed by determining, from the neural network, one or more similar driving events or corresponding actions in the multi-modal data.
Public/Granted literature
- US20200234086A1 SYSTEMS FOR MODELING UNCERTAINTY IN MULTI-MODAL RETRIEVAL AND METHODS THEREOF Public/Granted day:2020-07-23
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