论文阅读:(AAAI 2019)M2det: A single-shot object detector based on multi-level feature pyramid network
文章目录 大的背景 论文中主要工作做了什么？ 相比于FPN,有什么优点呢？ 相关的资源： 大的背景 特征金字塔网络似乎已经成为了相关目标检测比赛的一些标配，而且不论是one-stage(DSSD, RetinaNet)，还是two-stages(Mask RCNN) 铝型材表面瑕疵识别-Are you OK?队-1-解决方案 就用到了Faster-RCNN+FPN 但是这个也并不是无往不利的利器，
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相关文章
- 1. [论文解读]AAAI 2019|M2Det:A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
- 2. M2Det:A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network 论文理解
- 3. 【论文学习】Feature Pyramid Based Scene Text Detector
- 4. M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid（SFAM）
- 5. M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid
- 6. 论文阅读 | FoveaBox: Beyond Anchor-based Object Detector
- 7. 论文阅读笔记（三十七）：MegDet: A Large Mini-Batch Object Detector
- 8. 【论文阅读】Feature Pyramid Grids
- 9. Feature Pyramid Networks for Object Detection 阅读笔记
- 10. 论文阅读：EfficientDet: Scalable and Efficient Object Detection