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Jun, 2023
超低延迟高精度物体检测的脉冲神经网络
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
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Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang...
TL;DR
提出了两种方法并创造了一种名为SUHD的基于SNN的超低延迟、高精度物体检测模型,相对于Spiking-YOLO,SUHD在MS COCO数据集上可以大约减少750倍的时间步,同时提高了30%的平均精度(mAP)。
Abstract
spiking neural networks
(SNNs) have garnered widespread interest for their energy efficiency and brain-inspired event-driven properties. While recent methods like Spiking-YOLO have expanded the SNNs to more challenging
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