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Oct 26, 2020 · In this paper, we employed three machine learning models, ie, pure 5-layer convolutional neural network, VGG-16 model, and XGBoost algorithm model.
The results show that the pure convolutional neural network is a very effective method for clothing images classification, but the complex structure of VGG ...
A highly descriptive research work of this approach is the "comparison of different models for clothing images classification" [41] , that compared three ...
For the classification of dressed clothing images, different kinds of deep learning models were mainly used for experiments and compared with traditional ...
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This paper aims to determine proper classification models for each pure clothing and dressed clothing image, thereby enabling the classification of clothing ...
Oct 22, 2024 · This paper divides clothing images into two groups: pure clothing images and dressed clothing images. Targeting small and medium-sized clothing ...
Mar 9, 2021 · The experimental results show that 1) MobileNet is a more effective method of classification of clothing images compared to Fully Connected ...
Missing: Comparison Studies.
Comparison of models for the clothing type classification task. We see that our CNN models outperform the baseline models in Bossard et al. for the ACS ...
This paper divides clothing images into two groups: pure clothing images and dressed clothing images. Targeting small and medium-sized clothing companies or ...
Jun 30, 2024 · This work addresses the problem of overfitting which reduces the classification/generalization performance of clothing image classification models.