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can anyone briefly explain how the audio and video features are fused together
?
plea…
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Hello. First of all, I appreciate the sharing this repository.
I am interested in Semantic Segmentation.
The data that I'm trying to segment has additional depth information (stereo or Lidar).
If I…
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I propose to adjust the [wiki](https://github.com/clij/clij-custom-convolution-plugin/wiki) a bit:
> That trick works because real space convolution is very memory and compute expensive: You have t…
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2.5D Architecture --> patch extraction performed from three anatomical planes.
Currently, we are only using patches extracted from the axial plane, which is optimal for axial data (e.g. T2-ax, T2st…
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Copy of KnetLayers?
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conv1d should be relatively easy to implement through 2d convolution and some reshaping
conv3d cuda call should be easy, cpu implementation instead requires a lot of good will.
Also, should con…
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This issue is to maintain a list of some algorithms that seem particularly useful to implement. Currently up on the docket are:
- [x] [Deep High-Resolution Representation Learning for Human Pose Es…
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I am unable to find a link to the demos mentioned in the tf3d setup doc:
https://github.com/google-research/google-research/blob/master/tf3d/doc/setup.md
"Now you are ready to start training or …
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**Describe the bug**
Method mlx.core.conv_general is significantly slower than PyTorch analog. Can vary from 10x to 150x slower.
**To Reproduce**
Just run the attached code.
Include code snipp…
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Baseline 2d model uses only the single CT slice of interest in predicting pneumonia. A 2.5d model would use the `n` slices above/below the slice of interest as additional training features.
How to …