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Are Conventional SNNs Really Efficient? A Perspective from Network Quantization 会议论文
, Seattle WA, USA, 2024-06-20
作者:  Shen, Guobin;  Zhao, Dongcheng;  Li, Tenglong;  Li, Jindong;  Zeng, Yi
Adobe PDF(587Kb)  |  收藏  |  浏览/下载：21/6  |  提交时间：2024/06/05
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain 会议论文
, VANCOUVER, CANADA, 2024-02-20
作者:  He, Xiang;  Zhao, Dongcheng;  Li, Yang;  Shen, Guobin;  Kong, Qingqun;  Zeng, Yi
Adobe PDF(1144Kb)  |  收藏  |  浏览/下载：12/6  |  提交时间：2024/06/05
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition 会议论文
, New Orleans, 2023-12-14
作者:  Dong, Yiting;  Li, Yang;  Zhao, Dongcheng;  Shen, Guobin;  Zeng, Yi
Adobe PDF(11215Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/06/05
Grayscale IInhomogeneity Correction Method for Multiple Mosaicked Electron Microscope Images 会议论文
, 青岛, 2017-10-17
作者:  Zhou FX(周芳旭)
Adobe PDF(810Kb)  |  收藏  |  浏览/下载：141/43  |  提交时间：2022/06/17
Changes in delta and theta oscillations in the brain indicate dynamic switching of attention between internal and external processing 会议论文
, Xi'an, China, May 21-23, 2021
作者:  Yuying Jiang;  Haoran Zhang;  Shan Yu
Adobe PDF(1016Kb)  |  收藏  |  浏览/下载：173/53  |  提交时间：2021/06/16
Dynamic fusion of convolutional features based on spatial and temporal attention for visual tracking 会议论文
, Budapest, Hungary, 14-19 July 2019
作者:  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(1953Kb)  |  收藏  |  浏览/下载：189/53  |  提交时间：2021/06/10
Paraventricular Thalamus  Spatial Attention  Temporal Attention  
Application of Granger Causality in Decoding Covert Selective Attention with Human EEG 会议论文
, Chengdu, China, August 13-15, 2019
作者:  Weikun Niu;  Yuying Jiang;  Yujin Zhang;  Xin Zhang;  Shan Yu
浏览  |  Adobe PDF(701Kb)  |  收藏  |  浏览/下载：318/81  |  提交时间：2019/04/08
A Refined Spatial Transformer Network 会议论文
, Siem Reap, Cambodia, 13-16 December, 2018
作者:  Shu, Chang;  Chen, Xi;  Yu, Chong;  Han, Hua
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：418/150  |  提交时间：2018/10/09
Spatial invariance  Geometrical distortion  Spatial transformer networks  Motion field  Refined spatial transformer network