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对于深度度度度学习的代理AN损失

Wenjie Peng1, Quhui Ke1, Jinglin Liang1

  • 1School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China.

Neural networks : the official journal of the International Neural Network Society
|November 9, 2025
PubMed
概括

一个新的Proxy-Anchor-Negative (Proxy-AN) 损失通过平衡样本和代理表示来改善深度度度度学习. 这种方法提高了对优质嵌入空间的类内紧性和样本可区分性.

关键词:
深度度指标学习 (deep metric learning) 是一种深度度指标学习.图像检索 图像检索 图像检索基于代理的损失基于代理的损失代表性的学习学习.

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