Comments (2)
https://github.com/btgraham/SparseConvNet/blob/master/SparseConvNet/cifar10.cpp
relates to https://arxiv.org/abs/1412.6071 which is not currently implemented in this repo.
If you are interested in CIFAR-10 I recommend you start with something like:
https://github.com/liuzhuang13/DenseNet
Regards
Ben
from sparseconvnet.
@btgraham Hi, I am very interested in your paper "Spatially-sparse convolutional neural networks",too. But I don't know how to implement the network that trains Imagenet data by using “ facebookresearch/SparseConvNet”, beacuse of the fact how images are as the input of networks.
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Related Issues (20)
- can't get the same results in paper HOT 2
- sparseconvnet.SCN ImportError HOT 1
- Some questions about operational efficiency
- About the parameters of InputLayer HOT 3
- Dense to Sparse for input is quite slow
- AttributeError: module 'sparseconvnet.SCN' has no attribute 'Metadata_2' HOT 3
- RuntimeError: CUDA error: an illegal memory access was encountered HOT 2
- voxel input HOT 1
- Cloning face an error
- undefined symbol: _ZNSt15__exception_ptr13exception_ptr10_M_releaseEv HOT 2
- How to compute FLOPs for spraseconvnet HOT 3
- RuntimeError: expected scalar type Long but found Float HOT 5
- Building failure related to gcc version
- RuntimeError: expected scalar type Long but found Float
- Dilated convolution HOT 1
- Directly applying convolution HOT 1
- Rewrite for convolution operation
- Output with empty tensor
- setup.py中的C++17要改成C++14
- question from paper HOT 2
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