#Recursive Gated Convolution

HorNet leverages Recursive Gated Convolution for advanced spatial interactions in vision backbones. These models deliver leading results on ImageNet-1K and ImageNet-22K, supporting various tasks such as image and 3D object classification. The PyTorch-based implementation provides detailed setups and training methods, ensuring seamless integration and scalability across machine learning projects.