Comments (6)
你的意思是with torch.no_grad:
images = Variable(images.cuda()) ???
from residualattentionnetwork-pytorch.
@tengshaofeng 不需要Variable
from residualattentionnetwork-pytorch.
好的
from residualattentionnetwork-pytorch.
最近在做啥新研究
from residualattentionnetwork-pytorch.
我们把mobilefacenet跑到了论文水平,应该是开源项目的第一个,resnet跑不动就放弃了.
from residualattentionnetwork-pytorch.
做人脸识别啊?里面用的arcloss还是什么损失函数
from residualattentionnetwork-pytorch.
Related Issues (20)
- 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
- Expression of mix attention HOT 2
- about the code "out_interp = self.interpolation1(out_middle_2r_blocks) + out_down_residual_blocks1" HOT 4
- Focus of the attention mask
- Error : Data must be sequence , got float
- The error about if __name__ == '__main__': freeze_support() HOT 1
- model = ResidualAttentionModel() error with python3 HOT 1
- Hi,is there any impletation of visualizing the mask? i'm insterest in the mask they showed in the paper,it seems very good HOT 1
- A Inputsize Question HOT 1
- What is the meaning of `softmax` in attention_module.py?
- During the test, cifar10, the output data structure is incorrect. HOT 1
- have you ever tested the num of theparams
- i think the num of params for cifar10 residual network is incorrect
- what's the version of torch, torchvision and python? HOT 1
- Questions about the performance on ImageNet
- Errors when I run train.py
- Errors when I run train.py HOT 2
- transfer learning
- stage 0
- Errors when I try to run train.py HOT 2
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from residualattentionnetwork-pytorch.