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View Code? Open in Web Editor NEWDualNet: Learn Complementary Features for Image Recognition
DualNet: Learn Complementary Features for Image Recognition
Does the number of output channels vary from 64->128->256->512 just like the origin ResNet paper?
hello,
I want to ask you whether you use finetuned model to initialize both S1 Extractor(or include S1 Classifier) and S2 Extractor ?
thanks
hi~
I have read your paper, but I only find two softmaxloss layer is ' res_e1_train_val.prototxt' . But there are three softmaxloss Layers in paper. May be it is due to 'iterative training' ? Thanks for your help.
hi hshustc,
Though i have read your code for many times, I didn't find which part is used in JointFinetunning, Could u please tell me where I can find it ?
thx for your help!
你好,最近一直在读你的这篇文章,用caffe跑程序,迭代完60000次后,损失函数从最开始的7.67降到3.76左右(学习率也调整过,batchsize调整为3),训练完后,精度只有12%左右,我想请教下,怎么修改源程序参数呢?才能使损失函数收敛,精度有论文中那么高。。。期待你的答复,谢谢
Hello! How to do the iterative training? In the given demo, we only need to set the max_iter=1? Thanks for your help!
Hi,hshustc!
Thanks for your great work. Could you tell me if you use python API to define DualNet? It seeems that no python file in your project is used to define DualNet. I only see the protxtfile. Hope get ur response, thanks.
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