MetaAnchor: Learning to Detect Objects with Customized Anchors
Abstract 本文提出了一种灵活有效的anchor生成机制用于目标检测框架，我们取名为MetaAnchor，不同于之前的检测框架中，使用预先设定的Anchor，MetaAnchor可以从任意的自定义的预设box中动态生成。MetaAnchor可以适用于任何的基于anchor的目标检测框架，如RetinaNet。与之前的anchor预先定义的机制相比，我们发现MetaAnchor在anchor设
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相关文章
- 1. MetaAnchor: Learning to Detect Objects with Customized Anchors 论文解读
- 2. How to easily Detect Objects with Deep Learning on Raspberry Pi
- 3. [ICCV论文阅读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论文翻译阅读
- 10. 物体计数--Learning To Count Objects in Images