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Mar, 2024
DiTMoS: 微控制器上多样化精简模型选择研究
DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
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Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma
TL;DR
改进 DiTMoS 的 DNN 训练和推断框架,通过构建小型/弱模型并改善其准确性,提高了深度神经网络在微控制器上的有效和准确的推断性能。
Abstract
Enabling efficient and accurate
deep neural network
(DNN) inference on
microcontrollers
is non-trivial due to the constrained on-chip resources. Current methodologies primarily focus on compressing larger models
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