Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation

Hegui Zhu, Zhan Gao, Jiayi Wang +2

Traditional fine-grained image classification typically relies on large-scale training samples with annotated ground-truth. However, some sub-categories have few available samples…