(one-shot detection)Review: Comparison Network for one-shot Conditional object detection
本篇文章思路比较简单，作者认为，One-shot Learning只检测与query image相似的目标，是一种有条件的检测任务，适合引入贝叶斯条件概率理论。 网络的大致模型： (a) 表示以前做One-shot conditional detection任务的常用做法，采用selective windows设计一个固定的metric 方法；(b)表示LSTD的做法，对RPN和分类器都采用fea
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相关文章
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