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**解读Squeeze-and-Excitation Networks(SENet)**
https://zhuanlan.zhihu.com/p/32702350
![image](https://user-images.githubusercontent.com/47746159/85425051-fa675380-b578-11ea-843e-ed983e97df9b.png)
图1是…
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https://github.com/yukkyo/PyTorch-FilterResponseNormalizationLayer/blob/master/senet_frn.py#L287
```
if input_3x3:
layer0_modules = [
('conv1', nn.Conv2d(3, 6…
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Hi i get a size mismatch issue for se resnext 101 32 x4d
I changed the classes to 1 from 1000.
`size mismatch, m1: [80 x 8192], m2: [2048 x 1] at /opt/conda/conda-bld/pytorch_1556653099582/work/…
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When i run the test.py i am having issue with loading the module. The module is in the same directory and the code also seems correct. What is going wrong ? please help.
```
seNet/dares.py", line 12…
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In your paper 《Path Aggregation Network for Instance Segmentation》, you said that "we use 3ResNeXt-101(64*4d), 2SE-ResNeXt-101(32*4d), 1 ResNet-269 and 1 SENet as ensemble for bounding box and mask ge…
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I would like to know how did you train model whose weights are loaded into chosen model (Resnet, Senet).
Did you train the model in keras, how you implemented triplet loss, what training parameter…
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error code >>
Traceback (most recent call last):
File "train.py", line 244, in
main()
File "train.py", line 151, in main
model = get_model(model_name=cfg.MODEL.ARCH)
File "C:\Us…
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Hello, thank you for your contribution. I don't quite understand a few points.
Input. shape = (1,10242,6)
1. Do I need to extend the input to 4 dimensions?
(1,10242,6)----->(1,1,10242,6)
2. D…
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# Reference
- [ ] [计算机视觉中attention机制的理解](https://blog.csdn.net/bigbug_sec/article/details/89025318)
- [ ] [计算机视觉中的注意力机制](https://zhuanlan.zhihu.com/p/146130215)
- [ ] [综述---图像处理中的注意力机制](https://blo…