Fig. 1From: Masked multi-center angular margin loss for language recognitionThe overall architecture diagram of our proposed MMAM. The input contains the samples in a mini-batch and all the centers, and the labels include the samples and the pre-defined multi-center labels. Different colors represent different category labels. Multicolor samples indicate that their neighboring centers influence their classification informationBack to article page