Dendritic Learning-Incorporated Vision Transformer for Image Recognition

被引：0

作者：

Zhiming Zhang ^{[1
]}

Zhenyu Lei ^{[1
]}

Masaaki Omura ^{[1
]}

Hideyuki Hasegawa ^{[2
,1
]}

Shangce Gao ^{[2
,1
]}

机构：

[1] the Faculty of Engineering, University of Toyama

[2] IEEE

来源：

IEEE/CAA Journal of Automatica Sinica | 2024年 / 11卷 / 02期

基金：

日本学术振兴会; 日本科学技术振兴机构;

关键词：

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

Dear Editor,This letter proposes to integrate dendritic learnable network architecture with Vision Transformer to improve the accuracy of image recognition. In this study, based on the theory of dendritic neurons in neuroscience, we design a network that is more practical for engineering to classify visual features. Based on this, we propose a dendritic learning-incorporated vision Transformer(DVT), which out-performs other state-of-the-art methods on three image recognition benchmarks.

引用

页码：539 / 541

页数：3

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