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.
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