April 10, 2024, 4:46 a.m. | Hebei Li, Yueyi Zhang, Zhiwei Xiong, Zheng-jun Zha, Xiaoyan Sun

cs.CV updates on arXiv.org arxiv.org

arXiv:2307.10974v3 Announce Type: replace-cross
Abstract: U-Net, known for its simple yet efficient architecture, is widely utilized for image processing tasks and is particularly suitable for deployment on neuromorphic chips. This paper introduces the novel concept of Spiking-UNet for image processing, which combines the power of Spiking Neural Networks (SNNs) with the U-Net architecture. To achieve an efficient Spiking-UNet, we face two primary challenges: ensuring high-fidelity information propagation through the network via spikes and formulating an effective training strategy. To address …

arxiv cs.cv cs.ne eess.iv image image processing processing threshold type unet

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