MetaAnchor: Learning to Detect Objects with Customized Anchors
Abstract 本文提出了一種靈活有效的anchor生成機制用於目標檢測框架，我們取名爲MetaAnchor，不同於之前的檢測框架中，使用預先設定的Anchor，MetaAnchor可以從任意的自定義的預設box中動態生成。MetaAnchor可以適用於任何的基於anchor的目標檢測框架，如RetinaNet。與之前的anchor預先定義的機制相比，我們發現MetaAnchor在anchor設
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相關文章
- 1. MetaAnchor: Learning to Detect Objects with Customized Anchors 論文解讀
- 2. How to easily Detect Objects with Deep Learning on Raspberry Pi
- 3. [ICCV論文閱讀2019]Meta-Learning to Detect Rare Objects
- 4. Reading Note: Detect to Track and Track to Detect
- 5. CVPR 2007 Learning to detect a salient object
- 6. A customized combobox with JQuery
- 7. Learning to Detect Fake Face Images in the Wild
- 8. D2D: Keypoint Extraction with Describe to Detect Approac(2020)（九）
- 9. FreeAnchor: Learning to Match Anchors for Visual Object Detection論文翻譯閱讀
- 10. 物體計數--Learning To Count Objects in Images