Do Convolutional Neural Networks Learn Class Hierarchy?

• Published in: IEEE transactions on visualization and computer graphics Vol. 24; no. 1; pp. 152 - 162
• Main Authors: Bilal, Alsallakh, Jourabloo, Amin, Mao Ye, Xiaoming Liu, Liu Ren
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Analytics; Artificial neural networks; Confusion; confusion matrix; Convolutional Neural Networks; Data visualization; deep learning; Detectors; Feature extraction; Identification methods; Image classification; Image recognition; large-scale classification; Neural networks; Neurons; Structural hierarchy; Training; Training data

Convolutional Neural Networks (CNNs) currently achieve state-of-the-art accuracy in image classification. With a growing number of classes, the accuracy usually drops as the possibilities of confusion increase. Interestingly, the class confusion patterns follow a hierarchical structure over the clas...