Hierarchical learning for large-scale image classification organises visual categories into multi-level taxonomies, reflecting natural relations between coarse and fine classes. By structuring labels ...

Deep learning has transformed flower image classification by replacing hand-crafted features with end-to-end trainable models capable of capturing complex visual patterns. Convolutional neural ...