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Design of Instruction Analyzer with Semantic-Based Loop Unrolling Mechanism in the Hyperscalar Architecture Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Clothing Classification with Multi-attribute Using Convolutional Neural Network

Authors : Chaitawat Chenbunyanon, Ji-Han Jiang

Published in: New Trends in Computer Technologies and Applications

Publisher: Springer Singapore

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Abstract

Convolutional Neural Network (CNN) has demonstrated great efficiency in image classification tasks. In this paper, CNN is used with multi-label classification to extract features from clothing images and classify clothing types and colors. In our method, we first develop a neural network for types and colors separately then combine into a multi-output model to identify them. The experimental results show that the proposed method achieves practical performance in classify precision.

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Literature
1.
Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Networks 61, 85–117 (2015)CrossRef
2.
Mikołajczyk, A., Grochowski, M.: Data augmentation for improving deep learning in image classification problem, International Interdisciplinary Ph.D. Workshop (IIPhDW), pp. 117–122 (2018)
3.
Perez, L., Wang, J.: The Effectiveness of Data Augmentation in Image Classification using Deep Learning, arXiv preprint arXiv:​1712.​04621 (2017)
4.
Fengxin, L., Yueping, L., Xiaofeng, Z.: A novel approach to cloth classification through deep neural networks. In: International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), pp. 368–371 (2017)
5.
Yamazaki, K., Inaba, M.: Clothing classification using image features derived from clothing fabrics, wrinkles and cloth overlaps. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2710–2717 (2013)
6.
Rachmadi, R.F., Ketut Eddy Purnama, I.: Vehicle Color Recognition using Convolutional Neural Network, arXiv preprint arXiv:​1510.​07391 (2015)
7.
Bhatnagar, S., Ghosal, D., Kolekar, M.H.: Classification of fashion article images using convolutional neural networks. In: Fourth International Conference on Image Information Processing (ICIIP), pp. 357–362 (2017)
8.
Zeggada, A., Melgani, F.: Multilabel classification of UAV images with Convolutional Neural Networks. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5083–5086 (2016)
9.
10.
Zhang, P.-F., Wu, H.-Y., Xu, X.-S.: A dual-CNN model for multi-label classification by leveraging co-occurrence dependencies between labels. In: Advances in Multimedia Information Processing – PCM 2017, pp. 315–324 (2017)CrossRef
11.
12.
13.
14.
Ide, H., Kurita, T.: Improvement of learning for CNN with ReLU activation by sparse regularization. In: International Joint Conference on Neural Networks (IJCNN), pp. 2684–2691 (2017)
15.
Gong, Y., Jia, Y., Leung, T., Toshev, A., Ioffe, S.: Deep Convolutional Ranking for Multilabel Image Annotation, arXiv preprint arXiv:​1312.​4894v2 (2013)
Metadata
Title
Clothing Classification with Multi-attribute Using Convolutional Neural Network
Authors
Chaitawat Chenbunyanon
Ji-Han Jiang
Copyright Year
2019
Publisher
Springer Singapore
Book
New Trends in Computer Technologies and Applications

Print ISBN: 978-981-13-9189-7

Electronic ISBN: 978-981-13-9190-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-9190-3_20

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