Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

• Published in: IEEE transactions on circuits and systems for video technology Vol. 33; no. 12; p. 1
• Main Authors: Wang, Xixi, Wang, Xiao, Jiang, Bo, Luo, Bin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Classification; Computational modeling; Deep Learning; Feature extraction; Few-Shot Learning; Image representation; Learning; Measurement; Metric Learning; Queries; Representation learning; Representations; Task analysis; Transformer; Transformers

The goal of Few-shot classification (FSL) is to identify unseen classes with very limited samples has attracted more and more attention. Usually, it is formulated as a metric learning problem. The core issue of few-shot classification is how to learn (1) consistent representations for images in both...