Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet(Selective Kernel Networks)
I reimplemented SKNET using PyTorch. Although there are several PyTorch implementations of SKNET, they are different from implementation described in the original paper, and I was hard to understand their implementations. So I did.
Refer to this part for the implementation of Selective Kernel Convolution
- Paper: Selective Kernel Networks
- Paper: Aggregated Residual Transformations for Deep Neural Networks
- Repository: pppLang/SKNet
- Repository: ResearchingDexter/SKNet_pytorch
- Repository: bearpaw/pytorch-classification
- Experiment on CIFAR100 with Resnet-18