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I would like a `tf.nn.separable_conv3d` identical to `tf.nn.separable_conv2d` except with separability between dimentions [1,2,3] and 4, for use with 3D CNNs.
Rationale: separable convolutions perf…
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i am intereted in your great work. However, in the network architecture figure in the paper, i am confused about the detailed operation of "collapse window reshape and fc", would you please explain t…
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Hey,
I've been trying to use TCNs for images and I needed clarification about the input shape.
My image is a temporal image of size (259 x 50) representing (time_steps x height). In a visual repre…
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I find that in the following paper, the author uses 1D-CNN to replace the causal convolutions.
Wan, R., Mei, S., Wang, J., Liu, M., & Yang, F. (2019). Multivariate temporal convolutional network: A…
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Can this be used with tensorflow.keras, i.e., can I use the usual keras -> tensorflow.keras substitution?
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In your paper, you show your GSM design in Figure 2 with a component "1*3*3 convolutions". However, in Figure 3, you show your GSM implementation with a component "3*3*3 convolutions". Why? Does that …
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## 🚀 Feature
Following https://github.com/pytorch/vision/issues/2292#issuecomment-671325017 and discussion with @fmassa and @bjuncek , this feature request is to improve the transforms module to su…
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Hi!
We were wondering if the latest version supports 1D convolutions. We couldn't info about this type of layer in the docs. Conv1D layers are very useful for sequence / temporal data, i.e audio, 3…
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Kudos to the developers of this great repo!
It would be great if you could release the pre-trained models of C3D, R3D and R(2+1)D on Sports 1M dataset whose results are reported in Table 4 of your …
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## 📚 Documentation
The documentation has examples
`self.save_hyperparameters(['layer_1_dim', 'learning_rate'])`
This fails as due to type list not being supported as a hyperparameter. Howeve…