Enhancing ResNet Image Classification Performance by Using Parameterized Hypercomplex Multiplication
Enhancing ResNet Image Classification Performance by Using Parameterized Hypercomplex Multiplication
Recently, many deep networks have introduced hypercomplex and related calculations into their architectures. In regard to convolutional networks for classification, these enhancements have been applied to the convolution operations in the frontend to enhance accuracy and/or reduce the parameter requirements while maintaining accuracy. Although these enhancements have been applied to …