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This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

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--------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () 5 import logging 6 ----> 7 _, term_width = os.popen('stty size', 'r').read().split() 8 term_width = int(term_width) 9 ValueError: not enough values...

请问论文中的图5是怎么得到的矩形框?

@yangze0930 Hi, I get self.top_n_cdds in model.py/attention_net and then I pad image to 896 x 896 size, draw anchor boxes in padded image. Have I done something wrong in this...

i was very difficult to match code to right version of packages... anyway THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1535491974311/work/aten/src/THC/THCGeneral.cpp line=663 error=11 : invalid argument Traceback (most recent call last): File "/home/kaist/PycharmProjects/NTS-Net/train.py", line 66,...

I meet a mistake when I was training, please tell me ,how to solve,thank you

我只有一张6G的显卡,bachsize设置为4,训练时测试的正确率一直徘徊在0.6到0.7上不去,这是为什么啊?

我想请问ProposalNet指的是什么? 论文中Navigator参考了PFN和Faster R-CNN 在代码中怎么体现的呢?

First of all, thank you very much for your work.Secondly, I am a little confused about the partcls_loss.At the beginning of the training, the regions clipped from the original image...

thinks for your great work, I found a err in resnet.py #line 148 ` x = nn.Dropout(p=0.5)(x)` set net.eval() doesn't work for it ,i think need to defind a self.drop...