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shengyuting/ResearchNotes

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ResearchNotes

学术线

  • 研究two stage方法,主要关注Faster R-CNN
  • 探索该方向的新方法,目标在于提升检测的mAp值,不要太注重时间消耗

业务线

  • 实现室内目标检测,one stage和two stage的方法都行
  • 利用opencv实现一些传统算法,改进传统算法
  • 阅读opencv源代码,理解算法原理

代码线

  • leetCode刷题,每周一道题,分享解题思路和方法。上网查找和自己实现都可以

LCFCN与CenterNet计数

  • LCFCN中的分水岭分割算法能不能用到CenterNet中,以分水岭分割算法分析出的区域的外接矩形框为CenterNet的宽高输入

reference

Fast R-CNN参考

日常笔记

anaconda下载源

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