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2020论文阅读:Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
文章目录 文章贡献1 绪论2 有关研究2 1 General Object Detection2 2 Few shot learning 3 FSOD A Highly Diverse Few Shot Object Detection D
2020
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关于Few-Shot Learning & Meta-Learning 的一些 Q&A
最近在研究FSL xff0c 查资料找到自己存在的一些疑问 xff0c 若有误欢迎大家交流指正 1 什么是Few shot Learning和Meta learning xff1f Few shot learning是一种机器学习的范式 x
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amp
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浅谈 few-shot learning和meta-learning的区别
Few shot learning和meta learning都是机器学习中的一类问题 xff0c 但它们有一些不同之处 Few shot learning 是指在面对新任务时 xff0c 只有很少的样本可供学习 在这种情况下 xff0c
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论文解读 | Negative Margin Matters: Understanding Margin in Few-shot Classification, ECCV2020 spotlight
Motivation 在度量学习中 xff0c 一些方法额外加一个正的边界整合到 softmax 损失或余弦 softmax 损失 xff0c 以强制在真实标签类的分数比其他类的分数至少大一个 margin xff08 正的 xff09 这
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