TGDM: Target Guided Dynamic Mixup for cross-domain few-shot learning

• Main Authors: ZHUO, Linhai, FU, Yuqian, CHEN, Jingjing, CAO, Yixin, JIANG, Yu-Gang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: cross-domain few-shot learning; dynamic mixup; target guided learning; bi-level meta-learning; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7453; https://ink.library.smu.edu.sg/context/sis_research/article/8456/viewcontent/3503161.3548052.pdf
• Institution: Singapore Management University

Given sufficient training data on the source domain, cross-domain few-shot learning (CD-FSL) aims at recognizing new classes with a small number of labeled examples on the target domain. The key to addressing CD-FSL is to narrow the domain gap and transferring knowledge of a network trained on the s...