tengshaofeng/ResidualAttentionNetwork-pytorch

Issues

• Errors when I try to run train.py

  #40 opened 2 years ago by puppy2000
  2

• The error about if __name__ == '__main__': freeze_support()

  #26 opened 5 years ago by November666
  1

• Expression of mix attention

  #22 opened 5 years ago by fengshenfeilian
  2

• stage 0

  #39 opened 3 years ago by chen-yuu
  0

• Hi，is there any impletation of visualizing the mask? i'm insterest in the mask they showed in the paper,it seems very good

  #28 opened 5 years ago by Danie1Hayes
  1

• Errors when I run train.py

  #37 opened 4 years ago by KrystalCWT
  2

• transfer learning

  #38 opened 4 years ago by chatgptcoderhere
  0

• about the code "out_interp = self.interpolation1(out_middle_2r_blocks) + out_down_residual_blocks1"

  #23 opened 5 years ago by ZachZou-logs
  4

• Errors when I run train.py

  #36 opened 4 years ago by KrystalCWT
  0

• During the test, cifar10, the output data structure is incorrect.

  #31 opened 4 years ago by xk88372527
  1

• model = ResidualAttentionModel() error with python3

  #27 opened 5 years ago by carol007
  1

• Questions about the performance on ImageNet

  #35 opened 4 years ago by jianghaojun
  0

• what's the version of torch, torchvision and python?

  #34 opened 4 years ago by 3learning12340
  1

• i think the num of params for cifar10 residual network is incorrect

  #33 opened 4 years ago by Prines
  0

• have you ever tested the num of theparams

  #32 opened 4 years ago by Prines
  0

• can you provide the pretrained model

  #10 opened 6 years ago by cltdevelop
  2

• Error : Data must be sequence , got float

  #25 opened 5 years ago by Jayant1234
  0

• What is the meaning of `softmax` in attention_module.py?

  #30 opened 5 years ago by sydney0zq
  0

• A Inputsize Question

  #29 opened 5 years ago by onlyonewater
  1

• It seems that the this code reproduced results can not achieve the results in the original paper ?

  #1 opened 6 years ago by YihangLou
  106

• Focus of the attention mask

  #24 opened 5 years ago by aezco
  0

• model_92_sgd.pkl is pre_trained for cifar10?

  #18 opened 5 years ago by jguo16
  1

• 分类精度低的问题如何解决，整体精度95%？

  #20 opened 5 years ago by 13331112522
  3

• 下面是我运行某epoch的结果，我想问一下：为什么分类测试精度这么低？

  #17 opened 5 years ago by gden138
  5

• Mixed attention、Channel attention and Spatial attention

  #15 opened 5 years ago by YANYANYEAH
  4

• Traceback (most recent call last): File "train.py", line 20, in <module> from model.residual_attention_network import ResidualAttentionModel_92_32input_update as ResidualAttentionModel ImportError: No module named model.residual_attention_network

  #21 opened 5 years ago by ZZH2950228
  0

• model_92_sgd.pkl is pre_trained for cifar10?

  #19 opened 5 years ago by jguo16
  1

• extending it to 3d data

  #16 opened 5 years ago by Nd-sole
  0

• Shouldn't you record grad when testing?

  #14 opened 5 years ago by PistonY
  6

• 请问residual_attention_network.py里的各个类有什么区别？

  #13 opened 5 years ago by marsggbo
  1

• 请问在AttentionModule_stage1_cifar函数中原论文结构这里没在上采样后加 out_trunk这一步骤吧 如下

  #11 opened 6 years ago by sankin1770
  3

• 话题关闭

  #12 opened 6 years ago by sankin1770
  2

• Test Accuracy Stagnates

  #4 opened 6 years ago by jain-avi
  7

• new() received an invalid combination of arguments

  #9 opened 6 years ago by HowardZhang1994
  4

• attention map

  #5 opened 6 years ago by Xingxu1996
  1

• How to generate the masks given in the paper?

  #7 opened 6 years ago by jain-avi
  2

• pretrained network

  #8 opened 6 years ago by Xingxu1996
  1

• About multi-label

  #6 opened 6 years ago by josianerodrigues
  3

• TypeError

  #3 opened 6 years ago by zhaobingbingbing
  1

• ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).

  #2 opened 6 years ago by aovoc
  1