Title:
TRAINING DATA ACQUISITION METHOD, ABNORMAL BEHAVIOR RECOGNITION NETWORK TRAINING METHOD AND APPARATUS, COMPUTER DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM AND COMPUTER PROGRAM PRODUCT
Document Type and Number:
WIPO Patent Application WO/2023/029397
Kind Code:
A1
Abstract:
The present disclosure provides a training data acquisition method, an abnormal behavior recognition network training method and apparatus, a computer device, a storage medium, a computer program and a computer program product, the method comprising: acquiring network data, and collected data containing a specific abnormal behavior; acquiring action features of each piece of network data and collected data; and according to the similarity between the action features of each piece of network data and the action features of each piece of collected data, selecting, from the network data, similar network data that matches with the collected data, and using the collected data and the similar network data as positive sample training data for the specific abnormal behavior. According to the similarity between action features, training data that may be used as positive samples are determined from multiple pieces of network data, which improves the acquisition efficiency of training data and thereby accelerates the acquisition of abnormal behavior recognition networks.
Inventors:
SU JING (CN)
SU HAISHENG (CN)
WANG DONGLIANG (CN)
GAN WEIHAO (CN)
SU HAISHENG (CN)
WANG DONGLIANG (CN)
GAN WEIHAO (CN)
Application Number:
PCT/CN2022/077716
Publication Date:
March 09, 2023
Filing Date:
February 24, 2022
Export Citation:
Assignee:
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD (CN)
International Classes:
G06F16/951
Foreign References:
| CN113705689A | 2021-11-26 | |||
| CN111368934A | 2020-07-03 | |||
| CN111931713A | 2020-11-13 | |||
| CN112287857A | 2021-01-29 |
Attorney, Agent or Firm:
CHINA PAT INTELLECTUAL PROPERTY OFFICE (CN)
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