-
[SuiteSparseGraphBLAS.jl](https://github.com/JuliaSparse/SuiteSparseGraphBLAS.jl) provide the sparse representation of a graph and have better performance on algebraic operations, relative to `SparseM…
-
I'm trying to replicate some experiments from the paper: "Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals " (mainly figure 3) but I'm not sure how is GreedyCDL supported for…
-
hi,
in this project the onnx file generated from spconv has a static input size of 5*1, while the generated trt engine from the onnx file shoud have an input size of voxelNumber*5 which is dynamic , …
-
Hi! Thanks for this awesome resource. I was wondering if the code supports (or could support with simple extensions) computing the NTK and/or linearization for sparsely connected (non-convolutional)…
-
Hello, thanks for the great paper.
With the ResNet version of SparK using sparse convolution and sparse batch normalization together, the flow and mixing of global semantic information is heavily …
-
Can you provide pretrained model on waymo dataset and some guides for running the inference code? Although there is README file for using the sparse conv, i still stuck in runing the inference code. …
-
https://arxiv.org/pdf/1708.06500.pdf
-
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
-
Hi @HRLTY and @afathi3, could you please also provide wheel for python 3.8 for sparse convolution op? Python 3.8 is the default for Ubuntu 20.04 LTS.
Regards,
-
I have a training set consists of 704 graphs with a total number of nodes is ~ 770k and a test set consists of 352 graphs with a total number of nodes is ~300k. I combined the graphs in the training s…