,

Siqi Yin1, Lifan Jiang1

  • 1School of Computer Science and Technology, Shandong University of Science and Technology, Qingdao, Shandong, China.

PloS one
|September 20, 2024
PubMed
概括

本研究引入了一种新的零拍摄图像分类框架,使用基础模型识别未见的类别,而无需额外的训练数据. 该方法实现了超过96%的AUROC,大大提高了AI图像识别任务的概括性.

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