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Title:
SAMPLE GENERATION METHOD AND APPARATUS, NEURAL NETWORK TRAINING METHOD AND APPARATUS, AND DATA PROCESSING METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2022/088720
Kind Code:
A1
Abstract:
The present disclosure provides a sample generation method and apparatus, a neural network training method and apparatus, and a data processing method and apparatus. The sample generation method comprises: performing target detection on each frame of first point cloud data among multiple frames of first point cloud data to obtain a first target detection result of each frame of first point cloud data; determining first target point cloud data from the multiple frames of first point cloud data on the basis of the first target detection result of each frame of first point cloud data, a first confidence threshold representing the presence of a target in point cloud data, and a second confidence threshold representing the absence of a target in point cloud data; and generating sample data on the basis of the first target point cloud data and the first target detection result corresponding to the first target point cloud data. The method improves the reliability of the generated sample data, and thus improving the detection accuracy of a target detection model obtained by training.

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Inventors:
YANG JIHAN (CN)
SHI SHAOSHUAI (CN)
WANG ZHE (CN)
SHI JIANPING (CN)
Application Number:
PCT/CN2021/102678
Publication Date:
May 05, 2022
Filing Date:
June 28, 2021
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Assignee:
SHANGHAI SENSETIME LINGANG INTELLIGENT TECH CO LTD (CN)
International Classes:
G06K9/62
Foreign References:
CN112163643A2021-01-01
CN110264468A2019-09-20
CN107945198A2018-04-20
US20160154999A12016-06-02
Attorney, Agent or Firm:
BEIJING BESTIPR INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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