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Yaming Cao

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Open access Jul 2026

Spiking Neural Network Based on Hierarchical Residual Quantization and Temporal Error Compensation for Remote Sensing Object Detection

A spiking neural network based on hierarchical residual quantization and temporal error compensation (HRQ-TEC-SNN) and used for remote sensing object detection tasks is proposed and the model’s detection accuracy has been further improved while reducing the number of model parameters and computational costs.

Yaming Cao, Yukai Xing, Liqun Kuang et al. · 0 citations