Presentation 2022-03-11
Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines
Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a framework for contrastive learning of visual representations using online triplet loss and apply it for offline recognition of handwritten Chinese text lines. In this framework, the visual encoder model is trained with unlabeled text line images, then finetuned on ones with labels. As far as we know, it is the first approach that uses self-supervised contrastive learning for Chinese text line recognition. We apply the CRNN model to recognize text line images. At first, only the CNN part is trained in the proposed framework, and then it is used as the initial weight for the CRNN model when finetuned. In the experiments, we evaluated the performance of the proposed framework on the CASIA dataset. The results show that the text line recognizer trained with the self-supervised pre-trained encoder has outperformed the one without the pre-trained model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine learning / contrastive learning / offline handwriting recognition / deep neural network / CRNN
Paper # PRMU2021-78
Date of Issue 2022-03-03 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Differentiable rendering
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.)
Secretary Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.)
Assistant Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines
Sub Title (in English)
Keyword(1) Machine learning
Keyword(2) contrastive learning
Keyword(3) offline handwriting recognition
Keyword(4) deep neural network
Keyword(5) CRNN
1st Author's Name Trung Tan Ngo
1st Author's Affiliation Tokyo university of Agriculture and Technology(TUAT)
2nd Author's Name Hung Tuan Nguyen
2nd Author's Affiliation Tokyo university of Agriculture and Technology(TUAT)
3rd Author's Name Masaki Nakagawa
3rd Author's Affiliation Tokyo university of Agriculture and Technology(TUAT)
Date 2022-03-11
Paper # PRMU2021-78
Volume (vol) vol.121
Number (no) PRMU-427
Page pp.pp.115-120(PRMU),
#Pages 6
Date of Issue 2022-03-03 (PRMU)