Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks

1 code implementation • 11 Dec 2023 • Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

To handle the problem, we propose a ternary spike neuron to transmit information.

Membrane Potential Batch Normalization for Spiking Neural Networks

1 code implementation • ICCV 2023 • Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma

All these BNs are suggested to be used after the convolution layer as usually doing in CNNs.

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks

2 code implementations • ICCV 2023 • Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

Spiking Neural Networks (SNNs) as one of the biology-inspired models have received much attention recently.

Quantization

Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization

no code implementations • 3 May 2023 • Yufei Guo, Weihang Peng, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xuhui Huang, Zhe Ma

In this paper, we propose a joint training framework of ANN and SNN, in which the ANN can guide the SNN's optimization.

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

no code implementations • 6 Sep 2022 • Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi

The objective of the competition is to automatically detect landslides based on large-scale multiple sources of satellite imagery collected globally.

Data Augmentation Semantic Segmentation