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An Image Recognition Algorithm Based on Big Data Technology by Yijiang Ran; Zejing Feng is a Physics and Astronomy article available to read on EtoBox.

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## Abstract In order to solve the problem of poor accuracy in small target recognition, a target detection algorithm guided by double attention model is proposed. Based on the implementation principle of the single-stage detection algorithm, this method introduces two attention models to improve the detection performance, especially for small target objects. Firstly, a multi-scale feature cascade attention module is introduced into the convolution neural network to pay attention to different regions in the feature map of the original convolution neural network, so as to reduce the background of the feature graph and the interference of negative sample information. especially in the shallow feature map, we can pay attention to small target objects effectively. In addition, the dense connection alleviates the problem of gradient disappearance in the process of network back propagation. Secondly, the significant channel self-attention module is introduced into the fused features to distinguish the different channels of the feature map and screen out the useful channel information to make the features to be detected more representative. The proposed method is tested on the target detec

Who reads An Image Recognition Algorithm Based on Big Data Technology?

Author

Yijiang Ran; Zejing Feng

Publisher

IOP Publishing

Published

2021

Language

EN

Field

Physics and Astronomy (Physical Sciences)