Title:
TARGET RECOGNITION, AND TRAINING OF NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2023/184958
Kind Code:
A1
Abstract:
The present disclosure relates to target recognition, and training of a neural network for target recognition. According to an example of the present disclosure, a method comprises: a second client in a neural network training system, which at least comprises a first client and the second client, acquiring a first neural network obtained by the first client by means of using first sample image data, and then, inputting second sample image data into the first neural network, so as to obtain first feature data, which is output by the first neural network; according to the second sample image data and the first feature data, training a second neural network to be trained, so as to obtain a trained second neural network; and training a target neural network, which comprises the trained second neural network and the first neural network, by using the second sample image data, until a convergence condition is met.
Inventors:
WANG HAIBO (CN)
ZHU FENG (CN)
ZHAO RUI (CN)
ZHU FENG (CN)
ZHAO RUI (CN)
Application Number:
PCT/CN2022/128143
Publication Date:
October 05, 2023
Filing Date:
October 28, 2022
Export Citation:
Assignee:
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD (CN)
International Classes:
G06N3/04
Foreign References:
| CN114912572A | 2022-08-16 | |||
| CN113191479A | 2021-07-30 | |||
| CN110598504A | 2019-12-20 | |||
| CN107256423A | 2017-10-17 | |||
| US20210279528A1 | 2021-09-09 |
Attorney, Agent or Firm:
BEIJING BESTIPR INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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