Fine-grained image classification method and device, electronic equipment and storage medium

A classification method and fine-grained technology, applied in the field of computer vision, can solve the problems of not fully considering the characteristics of different layers, not fully considering the relationship between channels and spatial pixels, etc., to achieve improved classification performance, good expression ability, good classification and accurate positioning Effect

Pending Publication Date: 2022-07-01
SOUTH CHINA NORMAL UNIVERSITY
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  • Application Information

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Problems solved by technology

[0006] (3) The channel and spatial pixel relationship of different layer features are no

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  • Fine-grained image classification method and device, electronic equipment and storage medium
  • Fine-grained image classification method and device, electronic equipment and storage medium
  • Fine-grained image classification method and device, electronic equipment and storage medium

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[0051] In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0052] It should be clear that the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without creative work fall within the protection scope of the embodiments of the present application.

[0053] Terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. As used in the embodiments of this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural f...

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Abstract

The invention relates to a fine-grained image classification method and device, electronic equipment and a storage medium. The fine-grained image classification method comprises the following steps: acquiring an image to be classified; inputting the to-be-classified images into a trained feature extraction network to obtain multi-scale features of the images; wherein the feature extraction network is a ResNet101 neural network into which a PCFN module is inserted; and inputting the multi-scale features of the image into a classification network to obtain a fine-grained classification result of the to-be-classified image. According to the fine-grained image classification method provided by the invention, more discriminative features are learned by associating cross-layer features, and multi-scale features with better expression ability are obtained by combining the features of different layers of features, so that the classification effect is improved.

Description

technical field [0001] The present invention relates to the technical field of computer vision, and in particular, to a fine-grained image classification method, device, electronic device and storage medium. Background technique [0002] Fine-grained image classification is one of the more popular research directions in the field of image recognition. Compared with traditional image classification, fine-grained image classification has the characteristics of small inter-class differences and large intra-class differences. It has long been considered a challenging task due to feature learning for discriminating region localization and identifying regions. [0003] At present, there are many excellent fine-grained image classification algorithms, but the following problems still exist: [0004] (1) The use of manual annotation information in the training process of the convolutional neural network can improve the classification performance of the model, but the annotation in...

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Application Information

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IPC IPC(8): G06K9/62G06V10/764G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/084G06N3/045G06F18/24
Inventor 余松森陈建华梁军黄志机朱海文
Owner SOUTH CHINA NORMAL UNIVERSITY
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