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Hi. This work CBP is very good at recognition and VQA on the papers.
The idea of feature learning by two-stream and merge them into one should be a general method.
However, I test CBP on local feature…
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I notice there is a difference in how images are pre-processed in the [neural_style_transfer example](https://github.com/fchollet/keras/blob/master/examples/neural_style_transfer.py) and the [recommen…
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I use the upsampling layer and unsamlping the hyper layer.So the base_size will be 8 ,and feat_stride will be 8.But it dose not work as I wzpwcting.This is My prototxt .What's wrong with it.
name: "P…
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@tornadomeet @piiswrong I try to train FCN model in a somewhat more simplified way, For Example : for FCN 32 model I try to omit group4 or vgg16_pool4() method:
In code:
def fcnxs32_symbol():
{
data …
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Thanks to many contributors, we now have many Function implementations under the `chainer.functions` module. It is convenient that user can access to them via `chainer.functions`, though the source co…
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I tried implementing OpenCL support and the code is at: https://github.com/napsternxg/neural-style/tree/opencl
However I get the following error when running the code:
```
$ $ th neural_style_opencl…
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Hi,
I found out about Caffe-future from the paper Fully Convolutional Neural Networks (found the link from model-zoo). I am trying to work on a regression problem where the input to the CNN is an 256…
ghost updated
8 years ago
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Hi,
I started with Caffe and the mnist example ran well.
However, I can not understand how am I suppose to use this for my own data for a classification task.
What should be the data format? Where sh…
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https://github.com/soumith/cudnn.torch/commit/f58f3453c968d842efc1c4cadb019b4d8fe3e655
With this commit, I introduced a ceil mode as you requested.
model:add(cudnn.SpatialMaxPooling(2,2,2,2):ceil()) …
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