Title:
LABELLING TRAINING METHOD AND SYSTEM FOR IMPLEMENTING THE SAME
Document Type and Number:
WIPO Patent Application WO/2021/182564
Kind Code:
A1
Abstract:
A method of training a model includes generating processed data by analyzing an input related to an image using a pre-trained model to detect an object in the input. The method includes generating moving area detection data by analyzing the input to determine whether any areas within the input exhibit movement. The method includes generating temporal inconsistency data by analyzing the processed data to determine whether any areas within the processed data exhibit a temporal inconsistency. The method includes identifying whether the input contains an error candidate based on the moving area detection data and the temporal inconsistency data. The method includes receiving confirmation information regarding whether the error candidate is an undetected object within the input. The method includes updating the pre-trained model in response to receiving the confirmation information indicating that the error candidate is the undetected object within the input.
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Inventors:
YOSHIMI KOSUKE (JP)
Application Number:
PCT/JP2021/009747
Publication Date:
September 16, 2021
Filing Date:
March 11, 2021
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
G06T7/00; G06V20/00; G06V30/194
Foreign References:
| JP2011100175A | 2011-05-19 | |||
| JP2018190132A | 2018-11-29 |
Attorney, Agent or Firm:
TANAI Sumio et al. (JP)
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