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Title:
OCCLUSION-INFERENCE OBJECT DETECTION DEVICE, OCCLUSION-INFERENCE OBJECT DETECTION, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2023/171559
Kind Code:
A1
Abstract:
Provided is an occlusion-inference object detection device that infers one or more occluded portions of an object that are occluded by one or more occluding objects, said device comprising a learning unit that trains a mathematical model by self-supervised learning; in a process of inferring an occluded portion resulting from segmentation of occluded portions, the mathematical model infers a positional relationship between objects appearing in an image undergoing inference and, on the basis of the positional relationship, infers an occluded part of an occluded object, which is an object appearing in the image undergoing inference and having an occluded portion; the learning unit also uses geometrical information pertaining to the object appearing in the image undergoing inference to train the mathematical model.

Inventors:
LU HUIMIN (JP)
ZHENG YUCHAO (JP)
Application Number:
PCT/JP2023/008004
Publication Date:
September 14, 2023
Filing Date:
March 03, 2023
Export Citation:
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Assignee:
KYUSHU INST TECH (JP)
International Classes:
G06T7/00; G06T7/162
Foreign References:
JP2021141876A2021-09-24
JP2021144631A2021-09-24
JP2017211761A2017-11-30
JP2019192022A2019-10-31
Attorney, Agent or Firm:
MATSUNUMA Yasushi et al. (JP)
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