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我看这个网络直接输出分类、框坐标、置信度，并没有混合分类和检测数据集，对分类和检测任务进行联合训练 #11

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jiashihuigithub opened this issue Aug 28, 2019 · 1 comment
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我看这个网络直接输出分类、框坐标、置信度，并没有混合分类和检测数据集，对分类和检测任务进行联合训练 #11

jiashihuigithub opened this issue Aug 28, 2019 · 1 comment

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@jiashihuigithub
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YOLO2提出一种联合训练机制，混合来自检测和分类数据集的图像进行训练。当网络看到标记为检测的图像时，基于完整的yolov2损失函数进行反向传播。当它看到一个分类图像时，只从特定于分类的部分反向传播损失。
@jiashihuigithub
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论文中的darknet19图只是用来做分类的网络结构，然后添加了一些层做目标检测网络，我可以这样理解么？我看代码中目标检测网络并没有像论文中说的那样，添加3个11和33，是我理解有问题么？

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