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Going Deeper in Spiking Neural Networks: VGG and Residual Architectures
v1v2v3v4 (latest)

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

7 February 2018
Abhronil Sengupta
Yuting Ye
Robert Y. Wang
Chiao Liu
Kaushik Roy
ArXiv (abs)PDFHTML

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

50 / 319 papers shown
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
301
37
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
Haiwei Yang
162
9
0
23 Jan 2023
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff
Optimising Event-Driven Spiking Neural Network with Regularisation and CutoffFrontiers in Neuroscience (Front. Neurosci.), 2023
Dengyu Wu
Gao Jin
Han Yu
Xinping Yi
Xiaowei Huang
318
3
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 VisionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Gourav Datta
Zeyu Liu
Md. Abdullah-Al Kaiser
Souvik Kundu
Joe Mathai
Zihan Yin
Ajey P. Jacob
Akhilesh R. Jaiswal
Peter A. Beerel
219
14
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
329
28
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
163
17
0
28 Nov 2022
Exploring Temporal Information Dynamics in Spiking Neural Networks
Exploring Temporal Information Dynamics in Spiking Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Anna Hambitzer
Priyadarshini Panda
181
55
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
148
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
161
34
0
19 Nov 2022
A noise based novel strategy for faster SNN training
A noise based novel strategy for faster SNN trainingNeural Computation (Neural Comput.), 2022
Chunming Jiang
Yilei Zhang
133
4
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 PlasticityNeurocomputing (Neurocomputing), 2022
Daniel Gerlinghoff
Yaoyu Zhang
Rick Siow Mong Goh
Weng-Fai Wong
305
5
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
116
1
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 NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhanglu Yan
Jun Zhou
Weng-Fai Wong
170
9
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 NetworksNeural Information Processing Systems (NeurIPS), 2022
Xing-Hua Yao
Fanrong Li
Zitao Mo
Jianguo Cheng
345
129
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
164
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 NetworksIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Abhishek Moitra
Abhiroop Bhattacharjee
Runcong Kuang
Gokul Krishnan
Yu Cao
Priyadarshini Panda
154
31
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
Peter A. Beerel
260
11
0
23 Oct 2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Real Spike: Learning Real-valued Spikes for Spiking Neural NetworksEuropean Conference on Computer Vision (ECCV), 2022
Yu-Zhu Guo
Liwen Zhang
Y. Chen
Xinyi Tong
Xiaode Liu
Yinglei Wang
Xuhui Huang
Zhe Ma
171
36
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 NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Lang Feng
Qianhui Liu
Huajin Tang
De Ma
Gang Pan
200
59
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 NetworksFrontiers in Neuroscience (Front. Neurosci.), 2022
Chengting Yu
Zheming Gu
Da Li
Gaoang Wang
Aili Wang
Erping Li
222
48
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 ClassificationInternational Journal of Image Graphics and Signal Processing (IJIGSP), 2022
Jiashu Xu
S. Stirenko
129
4
0
11 Oct 2022
Training Spiking Neural Networks with Local Tandem Learning
Training Spiking Neural Networks with Local Tandem LearningNeural Information Processing Systems (NeurIPS), 2022
Qu Yang
Jibin Wu
Malu Zhang
Yansong Chua
Xinchao Wang
Haizhou Li
194
50
0
10 Oct 2022
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Boost Event-Driven Tactile Learning with Location Spiking NeuronsFrontiers in Neuroscience (Front. Neurosci.), 2022
Pengxin Kang
Srutarshi Banerjee
Henry H. Chopp
Aggelos K. Katsaggelos
O. Cossairt
200
19
0
09 Oct 2022
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
287
91
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
236
7
0
04 Oct 2022
Attention Spiking Neural Networks
Attention Spiking Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Man Yao
Guangshe Zhao
Hengyu Zhang
Yifan Hu
Lei Deng
Yonghong Tian
Bo Xu
Guoqi Li
191
245
0
28 Sep 2022
Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking
Di Zhang
Tao Zhang
Shuqing Jiang
Yanan Han
Yahui Zhang
Chenyang Du
Xingxing Guo
Licun Yu
Yue-chun Shi
Yue Hao
185
18
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
154
1
0
14 Aug 2022
giMLPs: Gate with Inhibition Mechanism in MLPs
Cheng Kang
Jindich Prokop
Lei Tong
Huiyu Zhou
Yong Hu
Daneil Novak
166
0
0
01 Aug 2022
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with
  Accuracy Loss Estimator
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with Accuracy Loss Estimator
Changqin Xu
Yijian Pei
Zili Wu
Yi Liu
Yintang Yang
154
5
0
31 Jul 2022
Text Classification in Memristor-based Spiking Neural Networks
Text Classification in Memristor-based Spiking Neural Networks
Jinqi Huang
A. Serb
S. Stathopoulos
T. Prodromakis
156
21
0
27 Jul 2022
InfiniteNature-Zero: Learning Perpetual View Generation of Natural
  Scenes from Single Images
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single ImagesEuropean Conference on Computer Vision (ECCV), 2022
Zhengqi Li
Qianqian Wang
Noah Snavely
Angjoo Kanazawa
VGen
243
82
0
22 Jul 2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural
  Network for Object Detection and Segmentation
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation
Yang Li
Xiang He
Yiting Dong
Qingqun Kong
Yi Zeng
278
32
0
06 Jul 2022
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video
  Depth Forecasting
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting
Suaradip Nag
Nisarg A. Shah
Anran Qi
Raghavendra Ramachandra
MDE
327
3
0
01 Jul 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal
  Memristive Crossbars
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive CrossbarsInternational Symposium on Low Power Electronics and Design (ISLPED), 2022
Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
136
23
0
20 Jun 2022
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking
  Neural Networks
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural NetworksPattern Recognition (Pattern Recogn.), 2022
Jianxiong Tang
Jianhuang Lai
Xiaohua Xie
Lingxiao Yang
Weimin Zheng
133
20
0
19 Jun 2022
Spiking Neural Networks for Frame-based and Event-based Single Object
  Localization
Spiking Neural Networks for Frame-based and Event-based Single Object LocalizationNeurocomputing (Neurocomputing), 2022
Sami Barchid
José Mennesson
J. Eshraghian
Chaabane Djéraba
Bennamoun
159
42
0
13 Jun 2022
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural
  Networks
A Synapse-Threshold Synergistic Learning Approach for Spiking Neural NetworksIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Hongze Sun
Wuque Cai
Baoxin Yang
Yan Cui
Yang Xia
D. Yao
Daqing Guo
225
20
0
10 Jun 2022
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection
  for Autonomous Driving
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous DrivingInternational Conference on Event-Based Control, Communication, and Signal Processing (ICECCSP), 2022
S. Mohapatra
Thomas Mesquida
Mona Hodaei
S. Yogamani
H. Gotzig
Patrick Mäder
3DPC
217
1
0
06 Jun 2022
A Resource-efficient Spiking Neural Network Accelerator Supporting
  Emerging Neural Encoding
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural EncodingDesign, Automation and Test in Europe (DATE), 2022
Daniel Gerlinghoff
Zhehui Wang
Xiaozhe Gu
Rick Siow Mong Goh
Yaoyu Zhang
114
9
0
06 Jun 2022
Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural
  Networks and Its Mapping Relationship to Deep Neural Networks
Linear Leaky-Integrate-and-Fire Neuron Model Based Spiking Neural Networks and Its Mapping Relationship to Deep Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2022
Si-wei Lu
Fengyi Xu
149
36
0
31 May 2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign
  Recognition
Efficient Federated Learning with Spike Neural Networks for Traffic Sign RecognitionIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
Kan Xie
Zhe Zhang
Bo Li
Jiawen Kang
Dusit Niyato
Shengli Xie
Yi Wu
139
73
0
28 May 2022
2D versus 3D Convolutional Spiking Neural Networks Trained with
  Unsupervised STDP for Human Action Recognition
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Mireille el Assal
Pierre Tirilly
Ioan Marius Bilasco
3DH
132
6
0
26 May 2022
Memory-enriched computation and learning in spiking neural networks
  through Hebbian plasticity
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Thomas Limbacher
Ozan Özdenizci
Robert Legenstein
186
4
0
23 May 2022
Spiking Neural Operators for Scientific Machine Learning
Spiking Neural Operators for Scientific Machine Learning
Adar Kahana
Qian Zhang
Leonard Gleyzer
George Karniadakis
278
11
0
17 May 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep SNNsIEEE International Joint Conference on Neural Network (IJCNN), 2022
Ramashish Gaurav
B. Tripp
Apurva Narayan
189
9
0
14 May 2022
Programming molecular systems to emulate a learning spiking neuron
Programming molecular systems to emulate a learning spiking neuronACS Synthetic Biology (ACS Synth Biol), 2022
Jakub Fil
Neil Dalchau
Dominique F. Chu
131
9
0
09 May 2022
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
134
24
0
06 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by
  Differentiation on Spike Representation
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike RepresentationComputer Vision and Pattern Recognition (CVPR), 2022
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
284
174
0
01 May 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst
  Spikes
Efficient and Accurate Conversion of Spiking Neural Network with Burst SpikesInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Yang Li
Yi Zeng
231
65
0
28 Apr 2022
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