SVFormer: A Direct Training Spiking Transformer for Efficient Video
Action Recognition

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition

21 June 2024

Han Zhang

Papers citing "SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition"

6 / 6 papers shown

Title
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 100 191 0 08 Mar 2023
Spikformer: When Spiking Neural Network Meets Transformer Zhaokun Zhou Yuesheng Zhu Chao He Yaowei Wang Shuicheng Yan Yonghong Tian Liuliang Yuan 140 231 0 29 Sep 2022
UniFormer: Unifying Convolution and Self-attention for Visual Recognition Kunchang Li Yali Wang Junhao Zhang Peng Gao Guanglu Song Yu Liu Hongsheng Li Yu Qiao ViT 125 223 0 24 Jan 2022
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 272 1,939 0 09 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 119 470 0 08 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017