笔记算法ssd 的相关内容

文章 2022-11-12 来自：开发者社区

论文阅读笔记 | 目标检测算法——RetinaNet（focal loss、含与SSD,RCNN,YOLO的对比）

1. Introductionpaper：Focal Loss for Dense Object Detection在RetinaNet出现之前，two-step检测网络（代表有Faster RCNN系列等等）的准确率一直要比one-step检测网络（代表有SSD系列、yolo系列）的准确率要高，但是在RetinaNet出现之后，one-step检测网络首次精度要比two-step检测网络要好。....

文章 2017-11-07 来自：开发者社区

深度学习笔记之目标检测算法系列（包括RCNN、Fast RCNN、Faster RCNN和SSD）

• RCNN RCNN（Regions with CNN features）是将CNN方法应用到目标检测问题上的一个里程碑，由年轻有为的RBG大神提出，借助CNN良好的特征提取和分类性能，通过RegionProposal方法实现目标检测问题的转化。算法可以...

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