Reasearch on Cross Domain Few-shot Learning Method Based on Local Feature Association

• Published in: 2021 6th International Symposium on Computer and Information Processing Technology (ISCIPT) pp. 754 - 759
• Main Authors: Ding, Yuan, Wang, Ping
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2021
• Subjects: Area measurement; attention mechanism; component; Computers and information processing; cross-domain few-shot; Degradation; Design methodology; Learning systems; local feature; Semantics; Task analysis

Few-shot classification aims to recognize unseen classes with few labeled samples from each class. Many meta-learn based and metric based methods elaborately design various task-shared meta-knowledge or embeddings to solve such tasks, and have achieved promising peformance. Howere, when there exists...