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Spiking SiamFC++: Deep Spiking Neural Network for Object Tracking. (arXiv:2209.12010v1 [cs.CV])
Sept. 27, 2022, 1:12 a.m. | Shuiying Xiang, Tao Zhang, Shuqing Jiang, Yanan Han, Yahui Zhang, Chenyang Du, Xingxing Guo, Licun Yu, Yuechun Shi, Yue Hao
cs.CV updates on arXiv.org arxiv.org
Spiking neural network (SNN) is a biologically-plausible model and exhibits
advantages of high computational capability and low power consumption. While
the training of deep SNN is still an open problem, which limits the real-world
applications of deep SNN. Here we propose a deep SNN architecture named Spiking
SiamFC++ for object tracking with end-to-end direct training. Specifically, the
AlexNet network is extended in the time domain to extract the feature, and the
surrogate gradient function is adopted to realize direct supervised …
arxiv network neural network spiking neural network tracking
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