Dendritic Learning-Incorporated Vision Transformer for Image RecognitionOA北大核心CSTPCD
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.
Zhiming Zhang;Zhenyu Lei;Masaaki Omura;Hideyuki Hasegawa;Shangce Gao;
Faculty of Engineering,University of Toyama,Toyama-shi 930-8555,JapanIEEE Faculty of Engineering,University of Toyama,Toyama-shi 930-8555,Japan
计算机与自动化
Imagenetworkimage
《IEEE/CAA Journal of Automatica Sinica》 2024 (002)
P.539-541 / 3
partially supported by the Japan Society for the Promotion of Science(JSPS)KAKENHI(JP22H03643);Japan Science and Technology Agency(JST)Support for Pioneering Research Initiated by the Next Generation(SPRING)(JPMJSP2145);JST through the Establishment of University Fellowships towards the Creation of Science Technology Innovation(JPMJFS2115)。
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