A Fully Spiking Hybrid Neural Network for Energy-Efficient Object
Detection

A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection

21 April 2021

Biswadeep Chakraborty

Saibal Mukhopadhyay

Papers citing "A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection"

9 / 9 papers shown

Title
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks Tianqing Zhang Kairong Yu Xian Zhong Hongwei Wang Qi Xu Qiang Zhang 101 1 0 04 Mar 2025
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames Haitian Zhang Xiangyuan Wang Chang Xu Xinya Wang Fang Xu Huai Yu Lei Yu Wen Yang ObjD 102 0 0 05 Dec 2024
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective Kaixuan Huang Yuqing Wang Molei Tao T. Zhao MLT 26 97 0 14 Feb 2020
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks Umut Simsekli Levent Sagun Mert Gurbuzbalaban 70 241 0 18 Jan 2019
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware P. U. Diehl Guido Zarrella A. Cassidy Bruno U. Pedroni Emre Neftci 46 217 0 16 Jan 2016
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 85 8,309 0 06 Nov 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 189 15,825 0 12 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 110 4,946 0 06 Oct 2013
Once more on comparison of tail index estimators V. Paulauskas Marijus Vaivciulis 56 17 0 07 Apr 2011