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Neural network model training method, image feature extraction method and related device

A neural network model and image feature technology, applied in the training field of neural network models, to achieve the effects of reduced batch size, reduced demand, and reduced performance requirements

Pending Publication Date: 2021-11-16
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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Problems solved by technology

[0006] The embodiment of the present application provides a training method of a neural network model, an image feature extraction method and related devices, which are used to solve the problem that the self-supervised learning method of the neural network used to extract image features needs to improve the learning efficiency in the related art

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  • Neural network model training method, image feature extraction method and related device
  • Neural network model training method, image feature extraction method and related device
  • Neural network model training method, image feature extraction method and related device

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Embodiment Construction

[0096] In order to enable ordinary persons in the art to better understand the technical solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0097] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consis...

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Abstract

The invention provides a neural network model training method, an image feature extraction method and a related device, which are used for solving the problems of high hardware requirements and low training speed of self-supervised learning in related technologies. According to the comparison learning method provided by the embodiment of the invention, the concept of a difficult negative sample pair is provided, a neural network model can learn the features between the positive samples by constructing a positive sample pair and the difficult negative sample pair, and the negative samples with small differences can be accurately distinguished. Therefore, learning of difficult negative samples is ensured, that is, learning of negative samples with large differences is ensured, so that the neural network model can accurately extract image features.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a neural network model training method, image feature extraction method and related devices. Background technique [0002] With the continuous increase of image and video resources, in order to facilitate the management and query of different multimedia resources, it is often necessary to obtain some characteristics of the multimedia resources. The similarity between features can be used to find similar resources, and the features of multimedia resources can also be used to recommend multimedia resources. [0003] In related technologies, in the face of massive multimedia resources, a neural network model is usually used to extract features of the multimedia resources. Neural network models learn from large-scale unlabeled datasets, which has always been a hot direction in computer vision. [0004] Each individual task in the self-supervised learning m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/214
Inventor 朱文涛尚航吕廷迅杨森刘霁
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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