NeuroMoCo: a neuromorphic momentum contrast learning method for spiking neural networks DOI

Yuqi Ma,

Huamin Wang,

Hangchi Shen

et al.

Applied Intelligence, Journal Year: 2024, Volume and Issue: 55(2)

Published: Dec. 9, 2024

Language: Английский

SpikingViT: a Multi-scale Spiking Vision Transformer Model for Event-based Object Detection DOI
Lixing Yu, Hanqi Chen, Ziming Wang

et al.

IEEE Transactions on Cognitive and Developmental Systems, Journal Year: 2024, Volume and Issue: 17(1), P. 130 - 146

Published: July 4, 2024

Language: Английский

Citations

2
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection DOI

Lennard Bodden,

Duc Bach Ha,

Franziska Schwaiger

et al.

2022 International Joint Conference on Neural Networks (IJCNN), Journal Year: 2024, Volume and Issue: 30, P. 1 - 9

Published: June 30, 2024

Language: Английский

Citations

2
Low-power event-based face detection with asynchronous neuromorphic hardware DOI

Caterina Caccavella,

Federico Paredes-Vallés, Marco Cannici

et al.

2022 International Joint Conference on Neural Networks (IJCNN), Journal Year: 2024, Volume and Issue: 3, P. 1 - 10

Published: June 30, 2024

Language: Английский

Citations

1
Spiking Neural Networks for Object Detection Based on Integrating Neuronal Variants and Self-Attention Mechanisms DOI Creative Commons
Weixuan Li, Jinxiu Zhao, Li Su

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(20), P. 9607 - 9607

Published: Oct. 21, 2024

Thanks to their event-driven asynchronous computing capabilities and low power consumption advantages, spiking neural networks (SNNs) show significant potential for computer vision tasks, especially in object detection. However, effective training methods optimization mechanisms SNNs remain underexplored. This study proposes two high accuracy detection, AMS_YOLO AMSpiking_VGG, integrating neuronal variants attention mechanisms. To enhance these proposed networks, we explore the impact of incorporating different variants.The results that SNN’s structure with outperforms mechanism Compared state-of-the-art current SNNs, improved by 6.7% on static dataset COCO2017, AMS_Spiking has 11.4% dynamic GEN1.

Language: Английский

Citations

1
Spiking Wavelet Transformer DOI
Yuetong Fang,

Ziqing Wang,

Lingfeng Zhang

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 19 - 37

Published: Oct. 30, 2024

Language: Английский

Citations

1
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks DOI
Ziming Wang,

Ziling Wang,

Huaning Li

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 310 - 328

Published: Nov. 25, 2024

Language: Английский

Citations

1
Energy-efficient craters detection based on spiking neural network using digital elevation models DOI
Keke Zha, Jiabin Yuan, Lili Fan

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123606 - 123606

Published: March 11, 2024

Language: Английский

Citations

0
End-to-End Edge Neuromorphic Object Detection System DOI

D. A. Silva,

Ayan Shymyrbay,

Kamilya Smagulova

et al.

Published: April 22, 2024

Language: Английский

Citations

0
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT DOI
Qiaoyi Su, Shijie Mei, Xingrun Xing

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 180, P. 106630 - 106630

Published: Aug. 22, 2024

Language: Английский

Citations

0
Lung Nodule Detection Based on Spike-Driven Self-Attention YOLO DOI

Xiaoqing Wei,

Yuchao Lv,

Hui Wang

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 187 - 196

Published: Jan. 1, 2024

Language: Английский

Citations

0