神经网络模型中图像预处理的自适应子采样有效性研究

Alexandr N. Gubin, Vladislav L. Litvinov, Felix V. Filippov, Oleg N. Zlobin
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引用次数: 0

摘要

研究了视网膜神经层在处理光感受器传输到视神经的数据时的功能特点。为了降低所处理数据的维数,提出了一种动态变化池的实现方法。这个过程在使用注意机制寻找关系的问题中也很有用。计算机仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of the Adaptive Subsampling Effectiveness for Image Preprocessing in Neural Network Models
The features of the functioning of the neural layers of the retina in the processing of data from photoreceptors for transmission to the optic nerve have been investigated. A procedure for the implementation of dynamically changing pooling is proposed in order to reduce the dimension of the data being processed. The procedure is also useful in problems of finding relationships using the attention mechanism. As a result of the computer simulation, the effectiveness of the proposed approach is shown.
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