Clothing Image Classification with DenseNet201 Network and Optimized Regularized Random Vector Functional Link

Clothing Image Classification with DenseNet201 Network and Optimized Regularized Random Vector Functional Link

To ameliorate the precision of clothing image classification, we proposed a clothing image classification method via the DenseNet201 network based on transfer learning and the optimized regularized random vector functional link (RVFL). First, the formula extracts weight’s parameters about DenseNet20...

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Bibliographic Details
Main Authors: Zhiyu Zhou, Mingxuan Liu, Wenxiong Deng, Yaming Wang, Zefei Zhu
Format: Article
Language:English
Published: Taylor & Francis Group 2023-04-01
Series:Journal of Natural Fibers
Subjects:
densenet201
marine predators algorithm
aquila optimizer
regularized random vector functional link
clothing classification
Online Access:http://dx.doi.org/10.1080/15440478.2023.2190188

Internet

http://dx.doi.org/10.1080/15440478.2023.2190188

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