Few-shot learning for image classification

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

L10, Linnanmaa

Topic of the dissertation

Few-shot learning for image classification

Doctoral candidate

Master of Science Yawen Cui

Faculty and unit

University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Center for Machine Vision and Signal Analysis

Subject of study

Computer Science and Engineering


Professor Karen Eguiazarian, Tampere University


Professor Matti Pietikäinen, University of Oulu

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Few-Shot Learning for Image Classification

This thesis contributes to the research on Few-Shot Learning (FSL) for image classification from two aspects:

1) Unsupervised FSL (UFSL): How to transfer prior knowledge learned from a fully unlabeled auxiliary dataset to novel tasks with a few examples?

2) Few-Shot Continual Learning (FSCL): How to continually learn FSL tasks?
Last updated: 23.1.2024