Automatic product image classification is a task of crucial importance with respect to the
management of online retailers. Motivated by recent advancements of deep Convolutional …

Featured Application This article belongs to the Section Computing and Artificial
Intelligence. Abstract Ineffective protein feature representation poses problems in protein …

In the general case, the performance of deep learning-based classification models depends
on the ability of capturing features. When a sample has various appearances, the increased …

Large-scale multi-class image classification is essential for big data applications. One of the
challenges is to deal with situations in which the number of classes is very large and for …

Large-scale product classification is an essential technique for better product understanding.
It can provide support to online retailers from a number of aspects. This paper discusses the …

Hierarchical classification (HC) is an effective method to solve the problem of multi-class
classification especially when the categories are organized hierarchically. However, HC …

Hierarchical classification is a computational efficient approach for large-scale image
classification. The main challenging issue of this approach is to deal with error propagation …

Generally, the performance of deep learning models is related to the captured features of
training samples. When the training samples belong to different domains, the diverse …

Large-scale image classification is a fundamental problem in computer vision due to many
real applications in various domains. A label tree-based classification is one of effective …