An Attention-Based Architecture for Hierarchical Classification With CNNs
Date Issued
2023
Author(s) USM
Pizarro, I.
DOI
10.1109/ACCESS.2023.3263472
Abstract
Branch Convolutional Neural Nets have become a popular approach for hierarchical classification in computer vision and other areas. Unfortunately, these models often led to hierarchical inconsistency: predictions for the different hierarchy levels do not
