Invention Grant
- Patent Title: Cleaning dataset for neural network training
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Application No.: US17170739Application Date: 2021-02-08
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Publication No.: US11748943B2Publication Date: 2023-09-05
- Inventor: Jong Hwa Lee , Seunghan Kim , Gary Lyons
- Applicant: SONY GROUP CORPORATION
- Applicant Address: JP Tokyo
- Assignee: SONY GROUP CORPORATION
- Current Assignee: SONY GROUP CORPORATION
- Current Assignee Address: JP Tokyo
- Agency: CHIP LAW GROUP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T17/00 ; G06T7/73 ; G06T15/04 ; G06T7/50 ; G06N3/08 ; G06N3/04 ; G06F18/214 ; G06V10/75 ; G06V10/74 ; G06V10/774 ; G06V10/82 ; G06V20/64 ; G06V40/16

Abstract:
An electronic device and method of dataset cleaning is provided. The electronic device receives a dataset comprising a plurality of samples, of which a first sample comprises a 2D image of an object of interest and a 3D shape model of the object of interest. The electronic device determines 2D landmarks from the 2D image and extracts 3D landmarks from the 3D shape model. The electronic device computes an error between the determined 2D landmarks and corresponding 2D locations of the extracted 3D landmarks on the 2D image, based on an error metric. Thereafter, the electronic device determines the computed error to be above a threshold. Based on the determination that the computed error is above the threshold, the electronic device updates the dataset by a removal of the first sample from the dataset and trains a neural network on a task of 3D reconstruction, based on the updated dataset.
Public/Granted literature
- US20210303923A1 CLEANING DATASET FOR NEURAL NETWORK TRAINING Public/Granted day:2021-09-30
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