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Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

7 February 2018
Abhronil Sengupta
Yuting Ye
Robert Y. Wang
Chiao Liu
Kaushik Roy
ArXivPDFHTML

Papers citing "Going Deeper in Spiking Neural Networks: VGG and Residual Architectures"

50 / 291 papers shown
Title
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking
  Neural Networks
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
Xinyi Chen
Qu Yang
Jibin Wu
Haizhou Li
Kay Chen Tan
30
16
0
26 May 2023
Neural information coding for efficient spike-based image denoising
Neural information coding for efficient spike-based image denoising
A. Castagnetti
Alain Pegatoquet
Benoit Miramond
14
1
0
15 May 2023
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
M. Aung
Daniel Gerlinghoff
Chuping Qu
Liwei Yang
Tian Huang
Rick Siow Mong Goh
Yaoyu Zhang
Weng-Fai Wong
24
10
0
09 May 2023
Membrane Potential Distribution Adjustment and Parametric Surrogate
  Gradient in Spiking Neural Networks
Membrane Potential Distribution Adjustment and Parametric Surrogate Gradient in Spiking Neural Networks
Siqi Wang
Tee Hiang Cheng
M. Lim
26
0
0
26 Apr 2023
Uncovering the Representation of Spiking Neural Networks Trained with
  Surrogate Gradient
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li
Youngeun Kim
Hyoungseob Park
Priyadarshini Panda
34
16
0
25 Apr 2023
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive
  Spiking Encoder-Decoder Network
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Rui Zhang
Luziwei Leng
Kaiwei Che
Hu Zhang
Jieling Cheng
Qinghai Guo
Jiangxing Liao
Ran Cheng
36
11
0
24 Apr 2023
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient
  Training in Deep Spiking Neural Networks
LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks
Di Hong
Jiangrong Shen
Yu Qi
Yueming Wang
25
5
0
17 Apr 2023
Temporal Knowledge Sharing enable Spiking Neural Network Learning from
  Past and Future
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future
Yiting Dong
Dongcheng Zhao
Yi Zeng
37
9
0
13 Apr 2023
Constructing Deep Spiking Neural Networks from Artificial Neural
  Networks with Knowledge Distillation
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
Qi Xu
Yaxin Li
Jiangrong Shen
Jian K. Liu
Huajin Tang
Gang Pan
27
62
0
12 Apr 2023
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Yuhang Li
Tamar Geller
Youngeun Kim
Priyadarshini Panda
26
38
0
02 Apr 2023
Open the box of digital neuromorphic processor: Towards effective
  algorithm-hardware co-design
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design
Guangzhi Tang
A. Safa
K. Shidqi
Paul Detterer
Stefano Traferro
Mario Konijnenburg
Manolis Sifalakis
Gert-Jan van Schaik
Amirreza Yousefzadeh
35
11
0
27 Mar 2023
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual
  Perception
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
Asude Aydin
Mathias Gehrig
Daniel Gehrig
Davide Scaramuzza
23
11
0
24 Mar 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for
  Conversion of Spiking Neural Networks
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks
Xiang He
Yang Li
Dongcheng Zhao
Qingqun Kong
Yi Zeng
50
6
0
23 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
Xiaoting Wang
Yanxiang Zhang
Yongzhen Zhang
36
5
0
20 Mar 2023
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
Joint ANN-SNN Co-training for Object Localization and Image Segmentation
M. Baltes
Nidal Abujahar
Ye Yue
Charles D. Smith
Jundong Liu
19
3
0
10 Mar 2023
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency
  Spiking Neural Networks
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
113
197
0
08 Mar 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking
  Neural Networks
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
34
39
0
28 Feb 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Zecheng Hao
Jianhao Ding
Tong Bu
Tiejun Huang
Zhaofei Yu
43
40
0
21 Feb 2023
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
Ye Yue
M. Baltes
Nidal Abujahar
Tao Sun
Charles D. Smith
Trevor Bihl
Jundong Liu
21
7
0
14 Feb 2023
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Workload-Balanced Pruning for Sparse Spiking Neural Networks
Ruokai Yin
Youngeun Kim
Yuhang Li
Abhishek Moitra
Nitin Satpute
Anna Hambitzer
Priyadarshini Panda
37
19
0
13 Feb 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Zecheng Hao
Tong Bu
Jianhao Ding
Tiejun Huang
Zhaofei Yu
33
54
0
04 Feb 2023
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural
  Networks
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
27
11
0
01 Feb 2023
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Guangyao Chen
Peixi Peng
Guoqi Li
Yonghong Tian
29
23
0
27 Jan 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural
  Networks
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
Fenglei Fan
Yingxin Li
Hanchuan Peng
T. Zeng
Fei Wang
30
5
0
23 Jan 2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Dengyu Wu
Gao Jin
Han Yu
Xinping Yi
Xiaowei Huang
26
2
0
23 Jan 2023
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient
  Computer Vision
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision
Gourav Datta
Zeyu Liu
Md. Abdullah-Al Kaiser
Souvik Kundu
Joe Mathai
Zihan Yin
Ajey P. Jacob
Akhilesh R. Jaiswal
P. Beerel
26
12
0
21 Dec 2022
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Thomas Nowotny
J. Turner
James C. Knight
32
15
0
02 Dec 2022
Semi-Supervised Confidence-Level-based Contrastive Discrimination for
  Class-Imbalanced Semantic Segmentation
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation
Kangcheng Liu
22
14
0
28 Nov 2022
Exploring Temporal Information Dynamics in Spiking Neural Networks
Exploring Temporal Information Dynamics in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
24
33
0
26 Nov 2022
Proceedings of the 4th International Workshop on Reading Music Systems
Proceedings of the 4th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza
Alexander Pacha
Elona Shatri
27
0
0
23 Nov 2022
Spikeformer: A Novel Architecture for Training High-Performance
  Low-Latency Spiking Neural Network
Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network
Yudong Li
Yunlin Lei
Xu Yang
39
27
0
19 Nov 2022
A noise based novel strategy for faster SNN training
A noise based novel strategy for faster SNN training
Chunming Jiang
Yilei Zhang
25
3
0
10 Nov 2022
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer
  Spiking Neural Networks based on Spike-Timing-Dependent Plasticity
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity
Daniel Gerlinghoff
Yaoyu Zhang
Rick Siow Mong Goh
Weng-Fai Wong
19
2
0
10 Nov 2022
Leveraging Computer Vision Application in Visual Arts: A Case Study on
  the Use of Residual Neural Network to Classify and Analyze Baroque Paintings
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings
Daniel Kvak
21
0
0
27 Oct 2022
Low Latency Conversion of Artificial Neural Network Models to
  Rate-encoded Spiking Neural Networks
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
Zhanglu Yan
Jun Zhou
Weng-Fai Wong
38
2
0
27 Oct 2022
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural
  Networks
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
Xing-Hua Yao
Fanrong Li
Zitao Mo
Jianguo Cheng
26
83
0
25 Oct 2022
Spiking Variational Graph Auto-Encoders for Efficient Graph
  Representation Learning
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning
Hanxuan Yang
Ruike Zhang
Qingchao Kong
Wenji Mao
GNN
32
3
0
24 Oct 2022
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for
  Benchmarking Spiking Neural Networks
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
Abhishek Moitra
Abhiroop Bhattacharjee
Runcong Kuang
Gokul Krishnan
Yu Cao
Priyadarshini Panda
26
20
0
24 Oct 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs
Gourav Datta
Haoqing Deng
R. Aviles
P. Beerel
93
10
0
23 Oct 2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Yu-Zhu Guo
Liwen Zhang
Y. Chen
Xinyi Tong
Xiaode Liu
Yinglei Wang
Xuhui Huang
Zhe Ma
42
30
0
13 Oct 2022
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper
  Directly-Trained Spiking Neural Networks
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
Lang Feng
Qianhui Liu
Huajin Tang
De Ma
Gang Pan
20
43
0
12 Oct 2022
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution
  and Attention for Spiking Neural Networks
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Chengting Yu
Zheming Gu
Da Li
Gaoang Wang
Aili Wang
Erping Li
54
36
0
11 Oct 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans
  Classification
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
Jiashu Xu
S. Stirenko
42
2
0
11 Oct 2022
Training Spiking Neural Networks with Local Tandem Learning
Training Spiking Neural Networks with Local Tandem Learning
Qu Yang
Jibin Wu
Malu Zhang
Yansong Chua
Xinchao Wang
Haizhou Li
63
37
0
10 Oct 2022
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Pengxin Kang
Srutarshi Banerjee
Henry H. Chopp
Aggelos K. Katsaggelos
O. Cossairt
23
9
0
09 Oct 2022
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
50
61
0
09 Oct 2022
In the realm of hybrid Brain: Human Brain and AI
In the realm of hybrid Brain: Human Brain and AI
Hoda Fares
Margherita Ronchini
M. Zamani
H. Farkhani
F. Moradi
33
5
0
04 Oct 2022
Attention Spiking Neural Networks
Attention Spiking Neural Networks
Man Yao
Guangshe Zhao
Hengyu Zhang
Yifan Hu
Lei Deng
Yonghong Tian
Bo Xu
Guoqi Li
35
164
0
28 Sep 2022
Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
S. Xiang
Tao Zhang
Shuqing Jiang
Yanan Han
Yahui Zhang
Chenyang Du
Xingxing Guo
Licun Yu
Yue-chun Shi
Yue Hao
24
9
0
24 Sep 2022
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in
  Artificial Neural Networks
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks
Lei Jiang
Yongqing Liu
Shihai Xiao
Yansong Chua
33
0
0
14 Aug 2022
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