[使RT-DETR]

Yuying Ren1, Lingxiao Huang1, Fang DU1

  • 1School of Information Engineering, Ningxia University// Ningxia Key Laboratory of Artificial Intelligence and Information Security for Channeling Computing Resources from the East to the West//Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Yinchuan 750021, China.

概括

这项研究引入了一种改进的RT-DETR模型,用于有效和准确地检测皮肤疾病. 改进后的模型实现了更高的准确性和更快的检测速度,同时显著减少了计算负载和参数.

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