Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples
Humans are capable of learning a new fine-grained concept with very little supervision, \emph{e.g.}, few exemplary images for a species of bird, yet our best deep learning systems need hundreds or thousands of labeled examples. In this paper, we try to reduce this gap by studying the fine-grained image recognition …