Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Peng, Weihang"'
Autor:
Fu, Ying, Li, Yu, You, Shaodi, Shi, Boxin, Chen, Linwei, Zou, Yunhao, Wang, Zichun, Li, Yichen, Han, Yuze, Zhang, Yingkai, Wang, Jianan, Liu, Qinglin, Yu, Wei, Lv, Xiaoqian, Li, Jianing, Zhang, Shengping, Ji, Xiangyang, Chen, Yuanpei, Zhang, Yuhan, Peng, Weihang, Zhang, Liwen, Xu, Zhe, Gou, Dingyong, Li, Cong, Xu, Senyan, Zhang, Yunkang, Jiang, Siyuan, Lu, Xiaoqiang, Jiao, Licheng, Liu, Fang, Liu, Xu, Li, Lingling, Ma, Wenping, Yang, Shuyuan, Xie, Haiyang, Zhao, Jian, Huang, Shihua, Cheng, Peng, Shen, Xi, Wang, Zheng, An, Shuai, Zhu, Caizhi, Li, Xuelong, Zhang, Tao, Li, Liang, Liu, Yu, Yan, Chenggang, Zhang, Gengchen, Jiang, Linyan, Song, Bingyi, An, Zhuoyu, Lei, Haibo, Luo, Qing, Song, Jie, Liu, Yuan, Li, Qihang, Zhang, Haoyuan, Wang, Lingfeng, Chen, Wei, Luo, Aling, Li, Cheng, Cao, Jun, Chen, Shu, Dou, Zifei, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Yang, Yuting, Gou, Xuejian, Wang, Qinliang, Liu, Yang, Zhao, Shizhan, Zhang, Yanzhao, Yan, Libo, Guo, Yuwei, Li, Guoxin, Gao, Qiong, Che, Chenyue, Sun, Long, Chen, Xiang, Li, Hao, Pan, Jinshan, Xie, Chuanlong, Chen, Hongming, Li, Mingrui, Deng, Tianchen, Huang, Jingwei, Li, Yufeng, Wan, Fei, Xu, Bingxin, Cheng, Jian, Liu, Hongzhe, Xu, Cheng, Zou, Yuxiang, Pan, Weiguo, Dai, Songyin, Jia, Sen, Zhang, Junpei, Chen, Puhua
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to inform and enhance deep learning models, we can develop more robust and ac
Externí odkaz:
http://arxiv.org/abs/2406.10744
The Spiking Neural Network (SNN), as one of the biologically inspired neural network infrastructures, has drawn increasing attention recently. It adopts binary spike activations to transmit information, thus the multiplications of activations and wei
Externí odkaz:
http://arxiv.org/abs/2312.06372
Recently, Spiking Neural Networks (SNNs), enjoying extreme energy efficiency, have drawn much research attention on 2D visual recognition and shown gradually increasing application potential. However, it still remains underexplored whether SNNs can b
Externí odkaz:
http://arxiv.org/abs/2310.06232
Autor:
Guo, Yufei, Zhang, Yuhan, Chen, Yuanpei, Peng, Weihang, Liu, Xiaode, Zhang, Liwen, Huang, Xuhui, Ma, Zhe
As one of the energy-efficient alternatives of conventional neural networks (CNNs), spiking neural networks (SNNs) have gained more and more interest recently. To train the deep models, some effective batch normalization (BN) techniques are proposed
Externí odkaz:
http://arxiv.org/abs/2308.08359
Autor:
Guo, Yufei, Liu, Xiaode, Chen, Yuanpei, Zhang, Liwen, Peng, Weihang, Zhang, Yuhan, Huang, Xuhui, Ma, Zhe
Spiking Neural Networks (SNNs) as one of the biology-inspired models have received much attention recently. It can significantly reduce energy consumption since they quantize the real-valued membrane potentials to 0/1 spikes to transmit information t
Externí odkaz:
http://arxiv.org/abs/2308.06787
Emerged as a biology-inspired method, Spiking Neural Networks (SNNs) mimic the spiking nature of brain neurons and have received lots of research attention. SNNs deal with binary spikes as their activation and therefore derive extreme energy efficien
Externí odkaz:
http://arxiv.org/abs/2305.02099
Autor:
Ghorbanzadeh, Omid, Xu, Yonghao, Zhao, Hengwei, Wang, Junjue, Zhong, Yanfei, Zhao, Dong, Zang, Qi, Wang, Shuang, Zhang, Fahong, Shi, Yilei, Zhu, Xiao Xiang, Bai, Lin, Li, Weile, Peng, Weihang, Ghamisi, Pedram
The scientific outcomes of the 2022 Landslide4Sense (L4S) competition organized by the Institute of Advanced Research in Artificial Intelligence (IARAI) are presented here. The objective of the competition is to automatically detect landslides based
Externí odkaz:
http://arxiv.org/abs/2209.02556
Autor:
Deng, Yi, Pang, Xiuqing, Chen, Li, Peng, Weihang, Huang, Xiaoyan, Huang, Peiying, Zhao, Shuai, Li, Zhishang, Cai, Xingui, Huang, Qiuping, Zeng, Jing, Feng, Yuchao, Chen, Bojun
Publikováno v:
In iScience 16 August 2024 27(8)
Publikováno v:
In Journal of Energy Storage 1 November 2024 101 Part A
Akademický článek
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