English(EN) MCUFlowNet: Hardware-Aware Neural Architecture Search for Optical Flow on Microcontrollers

新框架优化微控制器上的光流网络

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 05:00

研究人员开发了PACE-NAS，一个新颖的神经网络架构搜索框架，旨在优化微控制器上带神经网络加速器的光流网络。该框架通过首先固定骨干网络及其峰值SRAM使用量，然后搜索最优算子和深度，将内存约束与延迟解耦。当应用于具有Ethos-U55加速器的Grove Vision AI V2板上的EdgeFlowNet模型时，优化的MCUFlowNet变体表现出性能提升，其中MCUFlowNet-S在略高的误差率下运行速度比原始EdgeFlowNet快1.76倍。该框架在语义分割任务上也显示出潜力，搜索到的PIDNet-S变体在精度相当的情况下实现了更快的速度。 AI

影响在像微控制器这样的资源受限边缘设备上实现更高效的AI处理。

排序理由详细介绍用于微控制器的新的神经网络架构搜索框架的研究论文。 [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Enmin Lin, Jona Beysens · 2026-11-06 05:00

MCUFlowNet：面向微控制器的硬件感知光流神经网络架构搜索

arXiv:2611.08147v1 Announce Type: new Abstract: Dense optical flow allows small drones to avoid obstacles. However, few dense optical flow networks are designed for microcontrollers (MCUs) with neural accelerators, whose on-chip SRAM limits the input resolution. We present PACE-N…

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MCUFlowNet：面向微控制器的硬件感知光流神经网络架构搜索

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