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Title:
オブジェクト検出装置、オブジェクト検出システム及びオブジェクト検出方法
Document Type and Number:
Japanese Patent JP7464509
Kind Code:
B2
Abstract:
To provide highly accurate object detection means even for an image where a domain gap exists between a source domain and a target domain such as X-ray images.SOLUTION: An object detection device includes: an image input part for accepting an input image set including a source domain image corresponding to a source domain and a target domain image corresponding to a target domain; a domain conversion unit for generating a conversion image set including an artificial target domain image and an artificial source domain image; a pair generation part for generating an image pair with the input image set and the conversion image set; a feature extraction part for extracting a feature map for each image included in the image pair; a detection prediction part for generating a prediction result indicating a category and a position of an object in each image included in the image pair based on the feature map; and an object detection part for generating a detection result indicating a category and a position of the object on an X-ray image by analyzing a prescribed X-ray image.SELECTED DRAWING: Figure 4

Inventors:
▲とう▼ 紫薇
All holes
Naoto Akira
Tomoaki Yoshinaga
Application Number:
JP2020194858A
Publication Date:
April 09, 2024
Filing Date:
November 25, 2020
Export Citation:
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Assignee:
Hitachi Solutions Co., Ltd.
International Classes:
G06T7/00
Domestic Patent References:
JP2019021313A
Other References:
John B. Sigman, et al.,Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images,arxiv,米国,2020年10月02日,https://arxiv.org/pdf/2010.01202.pdf
Yuhu Shan, et al.,Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving,arxiv,米国,2019年08月11日,https://arxiv.org/pdf/1810.00345.pdf
Attorney, Agent or Firm:
Patent Attorney Corporation Daiichi International Patent Office



 
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