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请问一下层次hard mining体现在代码的哪里? #1
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hardmining 的代码在这块。https://github.com/YiYuanIntelligent/3DFasterRCNN_LungNoduleDetector/blob/master/lib/rpn/tianchi_anchor_target_layer.py#L97 。层次化hard mining是工程上的一种实现,没有放在网络里面,我们会先训练一个模型,作为第一层模型。然后以这个模型的基础上,finetune比上一层模型更难分的数据,然后作为第二层模型,依次往下。 |
哦,是把第一次得到的bbox放到第二次进行训练是吧 |
对了,你们这里的batchnorm层后面为什么不加scale层啊,感觉这样和pytorch里面的不一样了。 |
我记得当时,逐层核对过caffe和pytorch的输出,batchnorm这块的实现,两者有挺大的差异。我们应该是尝试过,加或不加,caffe都无法正常收敛,所以后面没管这层了 |
你们固定了输入比较了输出吗,我实现的加了scale输出是一样的。 |
150层的结果都一样吗?bn那块的参数是怎么设置的 |
都用的默认的参数,不过我是保持全部权重一致。 |
不过bn层参数caffe和pytorch的不太一样 |
Hello, I want to know how to create a data set for this network. I didn't participate in the Tianchi competition so I can't download it. Can you share it? |
之前看技术圈的解释,没看懂。
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