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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
Xueyuan She
Saibal Mukhopadhyay
ArXivPDFHTML

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

10 / 10 papers shown
Title
TS-SNN: Temporal Shift Module for Spiking Neural Networks
TS-SNN: Temporal Shift Module for Spiking Neural Networks
Kairong Yu
Tianqing Zhang
Qi Xu
Gang Pan
Hongwei Wang
37
0
0
07 May 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
Tianqing Zhang
Kairong Yu
Xian Zhong
Hongwei Wang
Qi Xu
Qiang Zhang
83
0
0
04 Mar 2025
Frequency-Adaptive Low-Latency Object Detection Using Events and Frames
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
92
0
0
05 Dec 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
20
2
0
08 Jul 2024
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales
  for Pruning Recurrent SNN
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Biswadeep Chakraborty
Beomseok Kang
H. Kumar
Saibal Mukhopadhyay
23
8
0
06 Mar 2024
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking
  Neural Network
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network
Yunhui Zhou
Dongqi Han
Yuguo Yu
3DH
21
0
0
10 Oct 2023
Spiking Neural Network for Ultra-low-latency and High-accurate Object
  Detection
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Jinye Qu
Zeyu Gao
Tielin Zhang
Yan-Feng Lu
Huajin Tang
Hong Qiao
11
18
0
21 Jun 2023
Accurate online training of dynamical spiking neural networks through
  Forward Propagation Through Time
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
Bojian Yin
Federico Corradi
S. Bohté
17
60
0
20 Dec 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
114
264
0
04 May 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
245
9,042
0
06 Jun 2015
1