Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG

1 July 2023

Papers citing "Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG"

7 / 7 papers shown

Title
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang Banggu Wu Peng Fei Zhu P. Li W. Zuo Q. Hu 153 4,049 0 08 Oct 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks Xiang Li Xiaolin Hu Jian Yang 79 196 0 23 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 629 4,814 0 13 May 2019
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 229 16,641 0 17 Jul 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,605 0 05 Sep 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 136 2,914 0 23 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 357 20,136 0 07 Oct 2016