Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level(2020)(八)
本文是一套提高feature提取以及描述能力的通用方案，可以認爲是一種refine原始網絡的方案。 可以應用到任何類似superpoint這樣的網絡上，不需要數據標註，而且改造成本很小！！！！！ 問題描述：像superpoint這樣的網絡訓練的時候是在一些合成圖上訓練，並且這樣的網絡幾乎都是在low-level層次訓練， 並沒有在high-level層次訓練
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相關文章
- 1. 【Feature Pyramid】《Deep Feature Pyramid Reconfiguration for Object Detection》
- 2. 【FPN】《Feature Pyramid Networks for Object Detection》
- 3. VINS（二）Feature Detection and Tracking
- 4. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 5. Rich feature hierarchies for accurate object detection and semantic segmentation
- 6. 學習筆記：LAB Feature with Feature-centric Cascade for Fast and Accurate Face Detection
- 7. Deep Feature Pyramid Reconfiguration for Object Detection
- 8. Feature Pyramid Networks for Object Detection
- 9. FPN: Feature Pyramid Networks for Object Detection
- 10. Feature Pyramid Networks for Object Detection（接）