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Hongjia Xu1, Sheng Zhou2, Zhuonan Zheng1
1Zhejiang Key Laboratory of Accessible Perception and Intelligent Systems, Zhejiang University, Hangzhou, 310027, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China.
本研究介绍了KITTY采样,这是一种使用对比学习和多重曲率的无监督数据集修剪方法. 它通过降低高密度区域的样本,高效地选择数据子集,提高模型性能,而无需昂贵的标签.
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