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Network optimization method and device, image processing method and device and storage medium

A network optimization and image technology, applied in the field of network optimization, can solve the problems of identity feature interference, inability to complete feature decomposition, inconvenience, etc.

Active Publication Date: 2020-07-21
BEIJING SENSETIME TECH DEV CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, due to factors such as pedestrian pose diversity and background diversity in the image data set, it will interfere with the extraction of identity features.
At present, in related technologies, deep neural networks are used to extract and decompose features for identity recognition. However, this method usually requires additional auxiliary key point information to improve recognition accuracy, and can only provide limited supervision and cannot complete effective feature decomposition.
[0003] Therefore, the prior art has the characteristics of low recognition accuracy and inconvenient

Method used

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  • Network optimization method and device, image processing method and device and storage medium
  • Network optimization method and device, image processing method and device and storage medium
  • Network optimization method and device, image processing method and device and storage medium

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Embodiment Construction

[0100] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0101] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0102] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein mean...

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Abstract

The invention relates to a network optimization method and device, an image processing method and device, and a storage medium, and the method comprises the steps: obtaining an image sample group; obtaining a first feature and a second feature of each image in the image sample group, and obtaining a first classification result by using the first feature of each image; performing feature exchange processing on each image pair in the image sample group to obtain a new image pair; obtaining a first loss value of the first classification result, a second loss value of the new image pair, and a third loss value of the first feature and the second feature of the new image pair by using a preset mode; and adjusting parameters of the neural network at least according to the first loss value, the second loss value and the third loss value until a preset requirement is met. According to the embodiment of the invention, the identity recognition precision can be effectively improved.

Description

technical field [0001] The present disclosure relates to the field of network optimization, in particular to a network optimization method and device, an image processing method and device, and a storage medium Background technique [0002] Person re-identification aims to learn discriminative features for person retrieval and matching. Usually, due to factors such as pedestrian pose diversity and background diversity in the image dataset, the extraction of identity features will be interfered. At present, in related technologies, deep neural networks are used to extract and decompose features for identity recognition. However, this method usually requires additional auxiliary key point information to improve recognition accuracy, and can only provide limited supervision and cannot complete effective feature decomposition. [0003] Therefore, the prior art has the characteristics of low recognition accuracy and inconvenience. Contents of the invention [0004] Embodiment...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06V10/764
CPCG06V40/10G06N3/045G06F18/24G06V10/82G06N3/08G06V10/454G06V10/764G06N3/047G06F18/2413Y02T10/40G06T2207/20084G06T5/70
Inventor 葛艺潇沈岩涛陈大鹏王晓刚李鸿升
Owner BEIJING SENSETIME TECH DEV CO LTD
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