Fine-Grained Few Shot Learning with Foreground Object Transformation

Chaofei Wang, Shiji Song, Qisen Yang +2

Traditional fine-grained image classification generally requires abundant labeled samples to deal with the low inter-class variance but high intra-class variance problem. However,…