Picture screening method, system and equipment, and storage medium

A screening method and picture technology, applied in the computer field, can solve the problems of low scoring accuracy of tourism display pictures, accurately understand the content of pictures, etc., and achieve the effect of improving scoring accuracy, scoring accuracy, and improving accuracy.

Pending Publication Date: 2021-09-07
携程科技(上海)有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the convolutional neural network is generally used to score pictures, but the convolutional neural network cannot capture the internal relationship of the image blocks inside the picture, and it is impossible to understand the content of the picture more accurately, so as to achieve a more accurate score for the provided picture the goal of
That is, these scoring models are less accurate in scoring tourism display pictures

Method used

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  • Picture screening method, system and equipment, and storage medium
  • Picture screening method, system and equipment, and storage medium
  • Picture screening method, system and equipment, and storage medium

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Embodiment Construction

[0044] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals denote the same or similar structures in the drawings, and thus their repeated descriptions will be omitted.

[0045] Some concepts involved in the embodiments of the present application are introduced below.

[0046] Attention mechanism: It imitates the internal process of biological observation behavior, that is, a mechanism that aligns internal experience and external sensation to increase the observation precision of some areas. Simply put, it is to quickly screen high-value information from a large amount of information. This...

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PUM

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Abstract

The invention provides a picture screening method, system and equipment, and a storage medium. The method comprises the following steps: obtaining to-be-tested pictures; scoring the to-be-tested pictures by using the trained target deep learning model to obtain a score value of each to-be-tested picture, wherein the target deep learning model is obtained by training an initial deep learning model based on a second training set, the initial deep learning model is obtained by training a preset deep learning model based on a first training set, the second learning rate in the initial deep learning model training process is smaller than the first learning rate in the preset deep learning model training process, and the preset deep learning model is a Transform model; and screening the to-be-tested pictures according to the score values. The accuracy of screening the tourism display pictures is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a picture screening method, system, equipment and storage medium. Background technique [0002] For the OTA (Online Travel Agency, online travel agency) platform, when promoting various tourist attractions, it is necessary to select pictures with better parameters including picture quality and shooting angle as display pictures to attract tourists. That is, each picture needs to be scored, and pictures with higher scores are screened out for recommended display. [0003] In the prior art, the convolutional neural network is generally used to score pictures, but the convolutional neural network cannot capture the internal relationship of the image blocks inside the picture, and it is impossible to understand the content of the picture more accurately, so as to achieve a more accurate score for the provided picture the goal of. That is to say, these scoring models are l...

Claims

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Application Information

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IPC IPC(8): G06F16/535G06F16/538G06F16/583G06K9/62G06N3/04G06N3/08
CPCG06F16/535G06F16/538G06F16/583G06N3/04G06N3/08G06F18/214
Inventor 刘洋何蜀波孙玉霞余迁朱登龙邹宇
Owner 携程科技(上海)有限公司
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