【论文阅读-目标检测】Feature Selective Anchor-Free Module for Single-Shot Object Detection
这篇文章从视觉效果上来说，很大程度的提升了“小目标的”检测效果。 一、主要内容 这篇文章主要是针对FPN这种结构去做优化的，主要的优化点在于“如何去选择哪一层来回归目标”。 以往的方法基本上都是基于“Heuristic feature selection” 以及 “ overlap-based anchor sampling” “Heuristic feature selectio
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- 8. 目标检测论文阅读：Relation Networks for Object Detection
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相关文章
- 1. 论文：Feature Selective Anchor-Free Module for Single-Shot Object Detection 阅读笔记
- 2. Feature Selective Anchor-Free Module for Single-Shot Object Detection论文阅读
- 3. 目标检测论文阅读：Feature Pyramid Networks for Object Detection
- 4. 目标检测论文总结：《Feature Selective Anchor-Free Module for Single-Shot Object Detection》
- 5. 目标检测系列：论文阅读——Feature Selective Anchor-Free Module for Single-Shot Object Detection(CVPR2019)
- 6. 笔记五：CVPR2019目标检测论文阅读 Feature Selective Anchor-Free Module for Single-Shot Object Detection
- 7. Feature Selective Anchor-Free Module for Single-Shot Object Detection论文解读
- 8. 目标检测论文阅读：Relation Networks for Object Detection
- 9. 目标检测论文阅读：Single-Shot Refinement Neural Network for Object Detection
- 10. Feature Selective Anchor-Free Module for Single-Shot Object Detection论文阅读翻译 - 2019CVPR