Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ding, Jianhao"'
Autor:
Zhong, Xian, Hu, Shengwang, Liu, Wenxuan, Huang, Wenxin, Ding, Jianhao, Yu, Zhaofei, Huang, Tiejun
Spiking neural networks (SNNs) have garnered significant attention for their low power consumption and high biological interpretability. Their rich spatio-temporal information processing capability and event-driven nature make them ideally well-suite
Externí odkaz:
http://arxiv.org/abs/2409.12507
Spiking neural networks (SNNs) are gaining popularity in deep learning due to their low energy budget on neuromorphic hardware. However, they still face challenges in lacking sufficient robustness to guard safety-critical applications such as autonom
Externí odkaz:
http://arxiv.org/abs/2405.20694
Spiking Neural Networks (SNNs) have attracted great attention for their energy-efficient operations and biologically inspired structures, offering potential advantages over Artificial Neural Networks (ANNs) in terms of energy efficiency and interpret
Externí odkaz:
http://arxiv.org/abs/2405.20355
Spiking neural networks (SNNs) have garnered interest due to their energy efficiency and superior effectiveness on neuromorphic chips compared with traditional artificial neural networks (ANNs). One of the mainstream approaches to implementing deep S
Externí odkaz:
http://arxiv.org/abs/2404.17456
The task of No-Reference Image Quality Assessment (NR-IQA) is to estimate the quality score of an input image without additional information. NR-IQA models play a crucial role in the media industry, aiding in performance evaluation and optimization g
Externí odkaz:
http://arxiv.org/abs/2403.11397
Autor:
Fang, Wei, Chen, Yanqi, Ding, Jianhao, Yu, Zhaofei, Masquelier, Timothée, Chen, Ding, Huang, Liwei, Zhou, Huihui, Li, Guoqi, Tian, Yonghong
Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic chips with high energy efficiency by introducing neural dynamics and spike properties. As the emerging spiking deep learning paradigm attracts increasing intere
Externí odkaz:
http://arxiv.org/abs/2310.16620
The success of deep learning in the past decade is partially shrouded in the shadow of adversarial attacks. In contrast, the brain is far more robust at complex cognitive tasks. Utilizing the advantage that neurons in the brain communicate via spikes
Externí odkaz:
http://arxiv.org/abs/2306.05654
Autor:
Zheng, Yajing, Zhang, Jiyuan, Zhao, Rui, Ding, Jianhao, Chen, Shiyan, Xiong, Ruiqin, Yu, Zhaofei, Huang, Tiejun
SpikeCV is a new open-source computer vision platform for the spike camera, which is a neuromorphic visual sensor that has developed rapidly in recent years. In the spike camera, each pixel position directly accumulates the light intensity and asynch
Externí odkaz:
http://arxiv.org/abs/2303.11684
Publikováno v:
International Conference on Learning Representations (2022)
Spiking Neural Networks (SNNs) have gained great attraction due to their distinctive properties of low power consumption and fast inference on neuromorphic hardware. As the most effective method to get deep SNNs, ANN-SNN conversion has achieved compa
Externí odkaz:
http://arxiv.org/abs/2303.04347
Spiking Neural Networks (SNNs) have attracted great attention due to their distinctive characteristics of low power consumption and temporal information processing. ANN-SNN conversion, as the most commonly used training method for applying SNNs, can
Externí odkaz:
http://arxiv.org/abs/2302.10685