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Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
v1v2 (latest)

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning

12 May 2025
Qi Xu
J. Zhu
D. Zhou
Hao Chen
Wenshu Fan
Jiangrong Shen
Qiang Zhang
ArXiv (abs)PDFHTMLGithub

Papers citing "Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning"

31 / 31 papers shown
Stereo Event-based, 6-DOF Pose Tracking for Uncooperative Spacecraft
Stereo Event-based, 6-DOF Pose Tracking for Uncooperative SpacecraftIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Zibin Liu
Banglei Guan
Yang Shang
Yifei Bian
Pengju Sun
Qifeng Yu
331
35
0
17 Mar 2025
Line-based 6-DoF Object Pose Estimation and Tracking With an Event
  Camera
Line-based 6-DoF Object Pose Estimation and Tracking With an Event CameraIEEE Transactions on Image Processing (TIP), 2024
Zibin Liu
Banglei Guan
Yang Shang
Qifeng Yu
L. Kneip
3DPC
335
46
0
06 Aug 2024
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Mingxuan Liu
Jiankai Tang
Haoxiang Li
Jiahao Qi
Siwei Li
Kegang Wang
Yuntao wang
Hong Chen
Yuntao Wang
Hong Chen
594
32
0
07 Feb 2024
Enhancing Adaptive History Reserving by Spiking Convolutional Block
  Attention Module in Recurrent Neural Networks
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural NetworksNeural Information Processing Systems (NeurIPS), 2024
Qi Xu
Yuyuan Gao
Jiangrong Shen
Yaxin Li
Xuming Ran
Huajin Tang
Gang Pan
374
23
0
08 Jan 2024
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip
  Learning
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip LearningNational Science Review (NSR), 2023
De Ma
Xiaofei Jin
Shichun Sun
Yitao Li
Xundong Wu
...
Fangchao Yang
Huajin Tang
Xiaolei Zhu
Peng Lin
Gang Pan
AI4CE
268
66
0
29 Dec 2023
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANNIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang‐Zhi Hu
Qian Zheng
Xudong Jiang
Gang Pan
MQ
225
97
0
31 May 2023
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks
  from Static to Event Domain
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event DomainAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiang He
Dongcheng Zhao
Yang Li
Guobin Shen
Qingqun Kong
Yi Zeng
238
9
0
23 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 NetworksInternational Conference on Learning Representations (ICLR), 2023
Tong Bu
Wei Fang
Jianhao Ding
Penglin Dai
Zhaofei Yu
Tiejun Huang
335
265
0
08 Mar 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
311
78
0
28 Jan 2023
Temporal Efficient Training of Spiking Neural Network via Gradient
  Re-weighting
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weightingInternational Conference on Learning Representations (ICLR), 2022
Shi-Wee Deng
Yuhang Li
Shanghang Zhang
Shi Gu
513
347
0
24 Feb 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Kenneth Stewart
Emre Neftci
262
33
0
26 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
292
39
0
24 Jan 2022
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
393
248
0
22 Aug 2021
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression
  using a Single Network
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo
Dong Xu
Guo Lu
181
13
0
26 May 2021
Fast On-Device Adaptation for Spiking Neural Networks via
  Online-Within-Online Meta-Learning
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
Bleema Rosenfeld
Bipin Rajendran
Osvaldo Simeone
OffRL
281
9
0
21 Feb 2021
Online Few-shot Gesture Learning on a Neuromorphic Processor
Online Few-shot Gesture Learning on a Neuromorphic Processor
Kenneth Stewart
Garrick Orchard
S. Shrestha
Emre Neftci
216
41
0
03 Aug 2020
Optimizing the energy consumption of spiking neural networks for
  neuromorphic applications
Optimizing the energy consumption of spiking neural networks for neuromorphic applicationsFrontiers in Neuroscience (Front. Neurosci.), 2019
M. Sorbaro
Li-Yu Daisy Liu
Massimo Bortone
Sadique Sheik
293
83
0
03 Dec 2019
On-chip Few-shot Learning with Surrogate Gradient Descent on a
  Neuromorphic Processor
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic ProcessorInternational Conference on Artificial Intelligence Circuits and Systems (AICAS), 2019
Kenneth Stewart
Garrick Orchard
S. Shrestha
Emre Neftci
BDL
304
27
0
11 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Transductive Episodic-Wise Adaptive Metric for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2019
Limeng Qiao
Yemin Shi
Jia Li
Yaowei Wang
Tiejun Huang
Yonghong Tian
235
196
0
05 Oct 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy LabelsIEEE International Conference on Computer Vision (ICCV), 2019
Yisen Wang
Jiabo He
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
455
1,108
0
16 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
509
374
0
28 Jul 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
645
796
0
10 Dec 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCVBDL
750
536
0
11 Jun 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
453
267
0
15 Apr 2018
Deep Meta-Learning: Learning to Learn in the Concept Space
Deep Meta-Learning: Learning to Learn in the Concept Space
Fengwei Zhou
Bin Wu
Zhenguo Li
SSL
245
132
0
10 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Juil Sock
Timothy M. Hospedales
2.2K
4,559
0
16 Nov 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
821
9,640
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
1.8K
14,070
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
1.9K
8,221
0
13 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.2K
224,064
0
10 Dec 2015
Going Deeper with Convolutions
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
4.2K
46,790
0
17 Sep 2014
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