Title:
TEACHING SIGNAL GENERATION DEVICE, MODEL GENERATION DEVICE, OBJECT DETECTION DEVICE, TEACHING SIGNAL GENERATION METHOD, MODEL GENERATION METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2020/101036
Kind Code:
A1
Abstract:
The objective of one embodiment of the present invention is to prevent a reduction in object detection precision even when object detection learning is carried out using a data set that lacks consistency with respect to annotations. One embodiment of the present invention is equipped with an object detection unit, a positive/negative determination unit, and a teaching signal determination unit. The object detection unit uses an object detection network to attempt to detect an object to be detected from a proposed area, which is a portion of an image. The positive/negative determination unit determines whether the proposed area is a positive example or a negative example for the object to be detected on the basis of the data pertaining to the image. The teaching signal determination unit carries out an eligibility determination for determining whether the positive/negative determination is eligible or ineligible and, on the basis of the result of the eligibility determination, sets a positive/negative determination result for use as a teaching signal.
Inventors:
NIITANI YUSUKE (JP)
OGAWA TORU (JP)
OGAWA TORU (JP)
Application Number:
PCT/JP2019/045036
Publication Date:
May 22, 2020
Filing Date:
November 18, 2019
Export Citation:
Assignee:
PREFERRED NETWORKS INC (JP)
International Classes:
G06T7/00
Foreign References:
| JP2014215852A | 2014-11-17 | |||
| JP2017102865A | 2017-06-08 | |||
| JP2017117139A | 2017-06-29 | |||
| JP2006189915A | 2006-07-20 |
Attorney, Agent or Firm:
NAGAI Hiroshi et al. (JP)
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