no code implementations • 7 Dec 2023 • Shuangmei Wang, Yang Cao, Tieru Wu
Few-shot class-incremental learning (FSCIL) struggles to incrementally recognize novel classes from few examples without catastrophic forgetting of old classes or overfitting to new classes.
1 code implementation • 2 Jan 2023 • Shuangmei Wang, Rui Ma, Tieru Wu, Yang Cao
Inspired by the distribution calibration technique which utilizes the distribution or statistics of the base classes to calibrate the data for few-shot tasks, we propose a novel discrete data calibration operation which is more suitable for NN-based few-shot classification.