Title:
TASK PROCESSING METHOD, NEURAL NETWORK TRAINING METHOD, APPARATUS, DEVICE, AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/213233
Kind Code:
A1
Abstract:
A task processing method, a neural network training method, an apparatus, a device, and a medium. The task processing method comprises: obtaining first data and second data; obtaining respective graph representations of a first scale and respective graph representations of a second scale of the first data and the second data, the second scale being lower than the first scale, the graph representation of each scale comprising a node of the scale, the node of each scale comprising an attribute of a vector type, a node of at least one scale of each piece of data being obtained by sparsifying dense data corresponding to the data, and the graph representation of at least one scale of each piece of data comprising adjacent edges representing a relative relationship of the node of the scale; performing graph matching on the first scale and the second scale on the first data and the second data, respectively to obtain a first matching result and a second matching result; and determining a multi-scale matching result on the basis of the first matching result and/or the second matching result, and further determining a task processing result.
Inventors:
TAI CHENG (CN)
TANG LINPENG (CN)
TANG LINPENG (CN)
Application Number:
PCT/CN2023/091356
Publication Date:
November 09, 2023
Filing Date:
April 27, 2023
Export Citation:
Assignee:
MOQI TECH BEIJING CO LTD (CN)
International Classes:
G06V10/75
Domestic Patent References:
| WO2020006961A1 | 2020-01-09 |
Foreign References:
| EP3876114A2 | 2021-09-08 | |||
| CN113536383A | 2021-10-22 | |||
| CN113609337A | 2021-11-05 |
Attorney, Agent or Firm:
BEIJING HAN KUN LAW OFFICES (CN)
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