Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation

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Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation

In response to the current issues of poor real-time performance, high computational costs, and excessive memory usage of object detection algorithms based on deep convolutional neural networks in embedded devices, a method for improving deep convolutional neural networks based on model compression a...

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Bibliographic Details
Main Authors:	Chen, Qipeng, Xiong, Qiaoqiao, Huang, Haisong, Tang, Saihong, Liu, Zhenghong
Format:	Article
Published:	Multidisciplinary Digital Publishing Institute 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/106292/

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