D2D: Keypoint Extraction with Describe to Detect Approac(2020)（九）
核心思想： 本文是一種refine特徵提取網絡的技術，並且是無監督學習，不需要標註數據方便refine 任何deep feature網絡 解決問題以及出發點： 一個完整的feaure包含角點信息和描述符信息，直觀上講描述符的維度那麼高 理論上他應該包含了一些關於角點的信息，而且應該也比較魯棒，那麼是否可以 從描述符中抽取出
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相關文章
- 1. Reading Note: Detect to Track and Track to Detect
- 2. MetaAnchor: Learning to Detect Objects with Customized Anchors
- 3. [EMNLP2017]End-to-End Neural Relation Extraction with Global Optimization
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- 9. 視頻目標檢測跟蹤--Detect to Track and Track to Detect
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