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loss不下降 #94
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How about mAP? Cascade R-CNN has been widely tested in many different datasets by different people. It should be very robust. However, it is still possible that it doesn't work in some cases. |
是一个检测刀的数据集,这个数据集我在faster-rcnn上训练能达到mAP=0.83左右,但是cascade-rcnn上mAP只有0.78左右 |
Cascade R-CNN should not be worse than faster-rcnn, since you can set the weights of the 2nd/3rd stages to 0. You may need to tune the hyperparameters a little bit, e.g. IoU thresholds. Or maybe try 2-stage cascade first. |
非常感谢你耐心的解答,我再试试调一下 |
我最近用cascade-fpn训练自己的一个数据集,训练这个数据集的时候我把学习率已经调到了0.00001,loss一直在0.4左右不能下降,不知道是什么原因呢?cascade是不是有一定的数据集使用范围?有些数据集并不适用呢·?
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