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Hello!
I was wondering if there is an example of a 3D Steerable CNN (using R3Conv). Furthermore, Is it possible to use this library to train a model using a tensor of shape (batch, channels, width, …
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您好,请问一下在您的论文里为什么使用是3D卷积而不是2D卷积呢?
3D卷积在这里相对于2D卷积带来了什么优势呢?有没有什么公式或者数学上的解释或者之类的?
还有就是filter设定为【3,3,3】这个大小设定是试验出来的吗?如果是,还试了哪些?
谢谢!
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Hi,
I am trying to use a 3d cnn in keras for classification and I am trying to visualize my network. Here is my network:
My model consists of 5 3d conv layers, each followed by batch normalization…
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related: #35
3D cnn: sees two timesteps at once
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Example command:
```bash
donkey tubplot --tub=data/ --model=models/pilot_24-06-10_4.h5 --type=rnn --limit=30000
```
Results in error:
```python
Traceback (most recent call last):
File "/home/…
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Hello, is there any function in matconvnet by which we can do 3D CNN?
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Is there any theoretical explanation why **Asymmetrical block** better than a (sparse) 3D Convolution kernel? Normally 3D CNN should have more parameters and bigger receptive field
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I used SlowFast model of pytorch(3D CNN), and I wanted to convert it to Tensorflow.
I have converted to onnx model but I could not convert it to Tensorflow .pb file because of some bugs of onnx-tf.
…
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Hi @dusty-nv
I want to train an action recognition model, but I'm not sure how to do it. Could you guide me?
I would really appreciate your help.
Thank you very mush!
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it would help us understand what is going on and the math behind it