J. Lim

Diffusion-inspired prototypical network for few-shot fine-grained classification

AM-DANet: Additive margin with dynamic augmentation network for speaker identification

The proposed framework improves data utilization through an improved preprocessing pipeline and incorporates an additive margin-based learning strategy to promote strong inter-class separability while preserving compact intra-class representations, enabling the model to learn more discriminative speaker embeddings.