MASF-Net: efficient linear attention guided few-shot fine-grained image recognition
Few-shot fine-grained image classification (FS-FGIC) aims to distinguish visually similar subcategories with only a handful of labeled examples, posing significant challenges due to subtle inter-class differences and large intra-class variations. Existing methods often fail to fully leverage complementary information f...