Invention Grant
- Patent Title: Method for training neural network, system for training neural network, and neural network
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Application No.: US17717546Application Date: 2022-04-11
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Publication No.: US12136230B2Publication Date: 2024-11-05
- Inventor: Sven Meier , Octave Mariotti , Hakan Bilen , Oisin MacAodha
- Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA , The University Court of the University of Edinburgh
- Applicant Address: JP Toyota; GB South Bridge Edinburgh
- Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA,The University Court of the University of Edinburgh
- Current Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA,The University Court of the University of Edinburgh
- Current Assignee Address: JP Toyota; GB South Bridge Edinburgh
- Agency: Dinsmore & Shohl LLP
- Priority: EP21167942 20210412
- Main IPC: G06T7/70
- IPC: G06T7/70 ; G06N3/045 ; G06T15/06

Abstract:
A method for training a first neural network to detect the viewpoint of an object visible on an image and belonging to a given category of object when this image is inputted to the first neural network, including: providing a dataset of pairs of images under different viewpoints, providing a second neural network configured to be able to deliver appearance information of an object, providing a third neural network configured to be able to deliver a synthetic image of an object of the category using appearance information and a viewpoint, jointly training the first neural network, the second neural network, and the third neural network.
Public/Granted literature
- US20220327730A1 METHOD FOR TRAINING NEURAL NETWORK, SYSTEM FOR TRAINING NEURAL NETWORK, AND NEURAL NETWORK Public/Granted day:2022-10-13
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