<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metric Learning on Chen Kai Blog</title><link>https://www.chenk.top/zh/tags/metric-learning/</link><description>Recent content in Metric Learning on Chen Kai Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 19 May 2025 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/zh/tags/metric-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>迁移学习（四）：小样本学习</title><link>https://www.chenk.top/zh/transfer-learning/04-few-shot-learning/</link><pubDate>Mon, 19 May 2025 09:00:00 +0000</pubDate><guid>https://www.chenk.top/zh/transfer-learning/04-few-shot-learning/</guid><description>&lt;p>给小孩看一张穿山甲的照片，他这辈子都能认出穿山甲；而给深度学习模型看一张照片，它的回答基本是随机瞎猜。小样本学习旨在填补这一差距，使分类器在每类只有 1 到 10 个标注样本的情况下也能正常工作。&lt;/p></description></item></channel></rss>