Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification
We propose to encode shareable and discriminative information in feature learning. Two exemplar selection methods are proposed to select effective training data. We build a hierarchical learning scheme to capture multiple visual level information. Our DDSFL outperforms most of the existing features. DDSFL features show great complementary effect to Caffe features.
scene image classification deep feature learning information sharing discriminative training