D2D: Keypoint Extraction with Describe to Detect Approac(2020)（九）
核心思想： 本文是一种refine特征提取网络的技术，并且是无监督学习，不需要标注数据方便refine 任何deep feature网络 解决问题以及出发点： 一个完整的feaure包含角点信息和描述符信息，直观上讲描述符的维度那么高 理论上他应该包含了一些关于角点的信息，而且应该也比较鲁棒，那么是否可以 从描述符中抽取出
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