Deep metric learning with online hard and soft selection for person re-identification

Mingyang Yu; Sei Ichiro Kamata

doi:10.1109/ICIEV.2018.8641037

Deep metric learning with online hard and soft selection for person re-identification

Mingyang Yu, Sei Ichiro Kamata

大学院情報生産システム研究科

研究成果: Conference contribution

抄録

Deep metric learning has been widely used for image retrieval and verification tasks. Traditional contrastive loss and triplet loss depend highly on the selection of pair/triplet images. It makes the training process unstable and uncomplete. In this paper, we propose a novel global level loss function that considers histograms for intra distances within class and inter distances between different classes. We compared two forms of global level loss (hard selection based loss and soft selection based loss) and both achieved better result than traditional triplet loss, multi-class N pair loss and other related works. The experiment is conducted on the person re-identification dataset Market 1501 and DukeMTMC-reID.

本文言語	English
ホスト出版物のタイトル	2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	426-431
ページ数	6
ISBN（電子版）	9781538651612
DOI	https://doi.org/10.1109/ICIEV.2018.8641037
出版ステータス	Published - 2019 2 12
イベント	Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018 - Kitakyushu, Japan 継続期間: 2018 6 25 → 2018 6 28

出版物シリーズ

名前	2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018

Conference

Conference	Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
Country	Japan
City	Kitakyushu
Period	18/6/25 → 18/6/28

ASJC Scopus subject areas

Signal Processing
Control and Optimization
Artificial Intelligence
Computer Vision and Pattern Recognition
Information Systems

文献へのアクセス

10.1109/ICIEV.2018.8641037

他のファイルとリンク

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引用スタイル

Yu, M., & Kamata, S. I. (2019). Deep metric learning with online hard and soft selection for person re-identification. In 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018 (pp. 426-431). [8641037] (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEV.2018.8641037

Deep metric learning with online hard and soft selection for person re-identification. / Yu, Mingyang; Kamata, Sei Ichiro.

2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 426-431 8641037 (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018).

研究成果: Conference contribution

Yu, M & Kamata, SI 2019, Deep metric learning with online hard and soft selection for person re-identification. in 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018., 8641037, 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018, Institute of Electrical and Electronics Engineers Inc., pp. 426-431, Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018, Kitakyushu, Japan, 18/6/25. https://doi.org/10.1109/ICIEV.2018.8641037

Yu M, Kamata SI. Deep metric learning with online hard and soft selection for person re-identification. In 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 426-431. 8641037. (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018). https://doi.org/10.1109/ICIEV.2018.8641037

Yu, Mingyang ; Kamata, Sei Ichiro. / Deep metric learning with online hard and soft selection for person re-identification. 2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 426-431 (2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018).

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abstract = "Deep metric learning has been widely used for image retrieval and verification tasks. Traditional contrastive loss and triplet loss depend highly on the selection of pair/triplet images. It makes the training process unstable and uncomplete. In this paper, we propose a novel global level loss function that considers histograms for intra distances within class and inter distances between different classes. We compared two forms of global level loss (hard selection based loss and soft selection based loss) and both achieved better result than traditional triplet loss, multi-class N pair loss and other related works. The experiment is conducted on the person re-identification dataset Market 1501 and DukeMTMC-reID.",

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