Based on the deep separable convolution concept, the ESPCN-based network was embedded in the 1x1 convolution layer to reduce the computations. Experiment results showed that the proposed method ...

Each convolution layer contains 64 kernels, and each layer uses a padding strategy to ensure that the input and output feature maps have the same dimension. Except for the 1x1 convolutional kernel, ...

I'm experiencing incorrect DirectML 1.12.0 operator results in C++ when not using the DirectX12 GPU Based Validation. I have the same issue with older versions (e.g. DirectML 1.11.0, 1.10.0 and 1.5.0) ...

The overall structure of our SH-GAN shows in the following figure: The sturcture of our Spectral Hint Unit shows in the following graph: Heterogeneous Filtering Explaination: 1x1 Convolution in ...

In this paper, we show that 1x1 convolution can be offloaded for PIM acceleration with integrated runtime support and without any hardware or algorithm changes. We provide further speedup with ...

For convolution, we will use the MBconv block, because It is a type of image residual block with an inverted structure for efficiency reasons and is used for image models. It uses a narrow-wide-narrow ...