Title:
TRAINING METHOD, FEATURE EXTRACTION METHOD, APPARATUS AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/082695
Kind Code:
A1
Abstract:
Embodiments of the present description provide a training method, a feature extraction method, an apparatus, and an electronic device. The training method comprises: inputting a first short-term feature set of a sample object under a corresponding target classification into a recurrent neural network, so as to obtain a second short-term feature set, wherein short-term features in the first short-term feature set correspond to the same first time granularity; combining the second short-term feature set into a long-term feature set according to a time sequence, wherein long-term features in the long-term feature set correspond to the same second time granularity, and the second time granularity is greater than the first time granularity; inputting the long-term feature set into a convolutional neural network to obtain a target feature set of the target object under the corresponding target classification; and inputting the target feature set into a classification model for identifying a target classification, so as to train the recurrent neural network and the convolutional neural network on the basis of an identification result of the classification model for the sample object.
Inventors:
LI HUAISONG (CN)
PAN JIANMIN (CN)
PAN JIANMIN (CN)
Application Number:
PCT/CN2020/111799
Publication Date:
May 06, 2021
Filing Date:
August 27, 2020
Export Citation:
Assignee:
ALIPAY HANGZHOU INF TECH CO LTD (CN)
International Classes:
G06K9/62; G06N3/04; G06N3/08
Foreign References:
| CN110796240A | 2020-02-14 | |||
| CN108446978A | 2018-08-24 | |||
| CN109451522A | 2019-03-08 | |||
| US20030101050A1 | 2003-05-29 |
Attorney, Agent or Firm:
BEIJING BESTIPR INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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