How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation

Yujin Kim, Jaehoon Oh, Sungnyun Kim +1

Most of the recent few-shot learning (FSL) algorithms are based on transfer learning, where a model is pre-trained using a large amount of source data, and the pre-trained model is…