Deep Convolution Neural Network sharing for the multi-label images classification

Deep Convolution Neural Network sharing for the multi-label images classification

Addressing issues related to multi-label classification is relevant in many fields of applications. In this work. We present a multi-label classification architecture based on Multi-Branch Neural Network Model (MBNN) that permits the network to encode data from multiple semi-parallel subnetworks or...

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Bibliographic Details
Main Authors: Solemane Coulibaly, Bernard Kamsu-Foguem, Dantouma Kamissoko, Daouda Traore
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Machine Learning with Applications
Subjects:
Images multi-label classification
Multi-branch neural network
Deep convolutional neural network
Multitask learning
Transfer learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000974

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http://www.sciencedirect.com/science/article/pii/S2666827022000974

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