Mar 19, 2024 · Artificial Intelligence

M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning

This paper introduces M2SD, a dual‑branch multiple‑mixing self‑distillation framework that expands feature space, mitigates overfitting and catastrophic forgetting, and achieves state‑of‑the‑art results on CIFAR‑100, CUB‑200 and miniImageNet for few‑shot class‑incremental learning.

Few‑Shot LearningM2SDclass incremental learning

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M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning