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Identification method and device

A recognition method and recognition model technology, applied in the field of recognition, can solve problems such as not being able to meet the training requirements of large-category models, achieve the effect of reducing video memory usage and improving recognition speed

Pending Publication Date: 2021-11-16
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the current memory limitation of a single GPU, basic data parallelism and model parallelism can no longer meet the training needs of large-category models

Method used

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  • Identification method and device
  • Identification method and device
  • Identification method and device

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Embodiment Construction

[0049] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the specification. However, this specification can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of this specification, so this specification is not limited by the specific implementations disclosed below.

[0050]Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present specification refers to...

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Abstract

The embodiment of the invention provides an identification method and device. The identification method comprises the steps: receiving a calling request of a calling party, wherein the calling request carries a target object; inputting the target object into a feature extraction layer of a recognition model to obtain a first object feature of the target object; and inputting the first object feature into a connection layer of the recognition model, segmenting the first object feature into at least two second object features in the connection layer, and performing calculation in the connection layer based on the at least two second object features to realize recognition of the target object.

Description

technical field [0001] The embodiment of this specification relates to the technical field of machine learning, and in particular to a recognition method. One or more embodiments of this specification also relate to a neural network model training method, a face recognition method, a recognition device, a neural network model training device, a face recognition device, a computing device, and a computer-readable storage medium. Background technique [0002] In recent years, with the continuous growth of data scale and basic computing power, related technologies in the field of artificial intelligence, especially deep learning, have been widely used. With the continuous development of artificial intelligence, large-scale classification tasks involving abnormally diverse categories have become an important basic task to improve model performance, especially in scenarios such as face recognition or language modeling, which can play a huge role. Due to the memory limitation of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 宋刘一汉徐盈辉潘攀张迎亚
Owner ALIBABA GRP HLDG LTD