For a long time, multi-class classification problems have played a critical role in various application scenarios such as information retrieval, image recognition, speech processing, and natural language processing. Whether in the sub-task processes of search engines or in high-precision scenarios like autonomous driving and medical image analysis, the capability of classifiers directly determines the reliability and efficiency of the system. Classical convolutional neural networks have driven tremendous le ...