Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

In the Uniad model, we use the ResNet101 architecture as the img_backbone module. This model utilizes the ModulatedDeformConv2dPack class from the mmcv package, which internally relies on the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Addition of nanoparticles in a hydrogel can enhance its three-dimensional (3D) ...

Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...

In the generative adversarial network, I added 2-3 layers of deformable convolution, resulting in a large graphics card footprint. We did network training on the A800, which was not possible due to ...