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 ...

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...