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As my understanding, you have `1xC` GAP vector (global average pooling) from the residual channel and `1xC` from the identical channel. Concatenation them together you got `2xC` GAP vector. From the `…
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Hello, Thank you for your excellent job about the attention. I am a little puzzled about the code. compared to the Senet, there is a batchnorm operation in the CoordAttention. Is it necessary for …
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HRNET中senet的reduction_ratio为什么设置为16 ,另外代码如下hrnet中的代码size=num_channels / reduction_ratio使用的是/ 而不是// 是否是错误?
squeeze = fluid.layers.fc(input=pool,
size=num_cha…
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I'm interested to know how many companies are actually using this library for their company. Feel free to drop a comment below with a link to your product. I'll update the issue with these responses.
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Hi,
Quoting the GAU explanation from the paper
> Our Global Attention Upsample module performs global average pooling to provide
> global context as a guidance of low-level features to select categ…
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https://towardsdatascience.com/squeeze-and-excitation-networks-9ef5e71eacd7
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EfficientNet
https://ai.googleblog.com/2019/05/efficientnet-improving-accuracy-and.html
https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
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Hi, there! I want to compute the gflops of ResNest on my task, but I don't know the gflops computing rule of SplAtConv2d.
So can you share the code of the computing of gflops of ResNest?
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Similar to [15b training](https://github.com/leela-zero/leela-zero/issues/2192), I will start to train 20b from 40b selfplays from time to time
2019/9/21
[b7e1fc49](http://zero.sjeng.org/networks/…