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cs.CV2022★ 1 cited
Efficient CNN Architecture Design Guided by Visualization
Liangqi Zhang, Haibo Shen, Yihao Luo +4
Modern efficient Convolutional Neural Networks(CNNs) always use Depthwise Separable Convolutions(DSCs) and Neural Architecture Search(NAS) to reduce the number of parameters and th…
cs.NE2022
Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons
Haibo Shen, Yihao Luo, Xiang Cao +3
As the third generation of neural networks, spiking neural networks (SNNs) are dedicated to exploring more insightful neural mechanisms to achieve near-biological intelligence. Int…
cs.CV2022
Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments
Haibo Shen, Yihao Luo, Xiang Cao +3
Neuromorphic vision sensors (event cameras) are inherently suitable for spiking neural networks (SNNs) and provide novel neuromorphic vision data for this biomimetic model. Due to…