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Hi I am trying to infer with the pre-trained model you provided. I am using one of the .PLY files from ScanNet dataset. But it just gives the same error;
The command I use to infer:
`python main…
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## 🚀 Feature
I suggest torch teams to add 'Sparse Convolution' as default nn module.
## Motivation
I want to use Sparse Convolution without external libraries like 'SPConv', 'Mincowski Engine',…
demul updated
2 years ago
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https://arxiv.org/abs/1612.02572
> Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people and deviations from healthy brain ageing have been assoc…
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I am proposing to be able to include a 3D deformable convolution within keras-cv
## Background
A recent paper has used deformable convolutions as a key building block in order to have a CNN be sta…
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It is useful to know who is using scikit-image when planning funding proposals. I was looking a little into how one can extract information such as that presented in [GitHub's dependents view](https:/…
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# Describe the feature
**Motivation**
The motivation behind this feature request is to integrate the recently proposed Dynamic Snake Convolution (DSCNet) model for tubular structure segmentation i…
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Hi, I am very interested in your project, so I downloaded your code and want implement it on my computer. But I found your code just have recording.py. There is not have the code about CNN and other …
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I found the form of convolution in network.py is 2d. Can it convert a 3d model?
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I'm trying to scale up 3D matrices from a deeppy convolutional neural network, for example from `(512,64,64)` to `(512,128,128)`. Currently I'm doing this by going via a numpy array, then iterating an…
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## 書誌情報
### 論文リンク
https://arxiv.org/abs/2102.13645v1
### 著者/所属機関
Davood Karimi, Serge Vasylechko, Ali Gholipour
### conf/journal
arxiv
### year
2021
## どんな論文か?
Like other applications in com…