liangzimei
liangzimei
@zimenglan-sysu-512 , thanks for your reminder. my train.prototxt is layer { name "fc3_new_1" type: InnerProduct ...... } layer { name: "loss_focal" type: "FocalLoss" bottom: "fc3_new_1" bottom: "label" top: "loss_focal" loss_param{...
@fahad7033 i haven't done it in a long time, you can try to train more iters.
@tarvaina thank you for the detailed explanation, i got it. :)
tf 1.2.0 has a bug using dropout , see [here](https://github.com/tensorflow/tensorflow/issues/11005) . tf 1.2.1 is ok.
CTC长文本会好些
thanks @caozhangjie , is there any good semi-supervised DA methods to suggest? ( i find that most of DA are unsupervised
i also meet the same problem, is there anything wrong in caffe version?
@whmin hello, could you give me the link to down imagenet models? thanks in advance....
> Sadly no. But I think that you that the positives samples need to be masked out, otherwise this would not make much sense. I tried to implement this loss...
@zengarden hi, your work is very excellent! For my case, i can not use your fast_nms because there is no cuda9 in my machine. if i choose tf_nms, except modifying...