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  1. Outputs

DLE4FC: a Deep Learning Ensemble to Identify Fabric Colors

Conference Paper
Publication Date:
2023
abstract:
The study of colors has attracted Artificial Intelligence researchers for many years. Nevertheless, there are aspects of this issue that are still little analyzed. One of them is the investigation of fabric colors, which has some peculiarities, such as the necessity to handle textures, that are not found in other scenarios. In this paper, we present DLE4FC, a deep learning ensemble for identifying fabric colors. Specifically, we introduce the general basic model, which consists of a particular Convolutional Neural Network, define three versions of it and integrate them into an ensemble to get better results. Finally, we test our ensemble and compare it with other already known systems.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Classification of Fabric Colors; Color Classification; Convolutional Neural Networks; Ensemble Learning; Identification of Fabric Colors
List of contributors:
Amelio, A.; Bonifazi, G.; Cauteruccio, F.; Corradini, E.; Marchetti, M.; Ursino, D.; Virgili, L.
Authors of the University:
AMELIO Alessia
Handle:
https://ricerca.unich.it/handle/11564/820694
Book title:
CEUR Workshop Proceedings
Published in:
CEUR WORKSHOP PROCEEDINGS
Journal
CEUR WORKSHOP PROCEEDINGS
Series
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