A review of few-shot fine-grained image classification

Published: 01 Jan 2025, Last Modified: 14 Jul 2025Expert Syst. Appl. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Comprehensive survey of methods for few-shot fine-grained image classification.•Detailed analysis of benchmark datasets, including domain adaptation challenges.•Expanded summary tables highlight advantages, limitations, and reproducibility.•Real-world applications of FS-FGIC in healthcare, space, agriculture, and more.•Actionable future research directions for advancing FS-FGIC methodologies.
Loading