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Pattern Recognition

7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Huimin Lu

    1. Kyushu Institute of Technology, Kitakyushu, Japan

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  2. Michael Blumenstein

    1. The University of Sydney, Sydney, Australia

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  3. Sung-Bae Cho

    1. Yonsei University, Seoul, Korea (Republic of)

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  4. Cheng-Lin Liu

    1. Chinese Academy of Sciences, Beijing, China

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  5. Yasushi Yagi

    1. Osaka University, Osaka, Japan

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  6. Tohru Kamiya

    1. Kyushu Institute of Technology, Kitakyushu, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14406)

Included in the following conference series:

Conference proceedings info: ACPR 2023.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Towards Explainable Computer Vision Methods via Uncertainty Activation Map

    • Seungyoun Shin, Wonho Bae, Junhyug Noh, Sungjoon Choi
    Pages 1-14

  3. Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator

    • Seungyoun Shin, Joon Hyung Lee, Junhyug Noh, Sungjoon Choi
    Pages 15-28

  4. A Novel Convolutional Neural Network with Large Kernel for Classification of Crash Test Photos

    • Jiajing Liu, Qin Xiao, Jiacheng Liu, Ziyi Huang, Tianhua Wang, Guangxu Li
    Pages 29-40

  5. Underwater Image Restoration Based on Light Attenuation Prior and Scene Depth Fusion Model

    • Xu Zhu, Yujie Li, Huimin Lu
    Pages 41-53

  6. Efficient Shapley Values Calculation for Transformer Explainability

    • Tianli Sun, Haonan Chen, Yuping Qiu, Cairong Zhao
    Pages 54-67

  7. Detecting Data Drift with KS Test Using Attention Map

    • Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
    Pages 68-80

  8. Frequency Information Matters for Image Matting

    • Rongsheng Luo, Rukai Wei, Changxin Gao, Nong Sang
    Pages 81-94

  9. Tomato Leaf Disease Classification with Vision Transformer Variants

    • Waheed Moonwar, Mohammad Rakibul Hasan Mahin, Yasmin Nadia, Fahmid Bin Kibria, Aurnab Biswas, Fatiha Ishrar Chowdhury et al.
    Pages 95-107

  10. Toward Defensive Letter Design

    • Rentaro Kataoka, Akisato Kimura, Seiichi Uchida
    Pages 108-122

  11. Using Motif-Based Features to Improve Signal Classification with Temporal Neural Networks

    • Karthikeyan Suresh, Brian Kenji Iwana
    Pages 123-136

  12. SimCLR-Inception: An Image Representation Learning and Recognition Model for Robot Vision

    • Mengyuan Jin, Yin Zhang, Xiufeng Cheng, Li Ma, Fang Hu
    Pages 137-147

  13. Anime Sketch Colourization Using Enhanced Pix2pix GAN

    • Nikhil Prashant Mudhalwadkar, Hamam Mokayed, Lama Alkhaled, Palaiahnakote Shivakumara, Yan Chai Hum
    Pages 148-164

  14. Portrait Matting via Semantic and Detail Guidance

    • Deming Wang, Changxin Gao, Nong Sang
    Pages 165-178

  15. Scene Text Detection with Box Supervision and Level Set Evolution

    • Mengbiao Zhao, Fei Yin, Cheng-Lin Liu
    Pages 179-193

  16. Sarcasm Detection in News Headlines Using Evidential Deep Learning-Based LSTM and GRU

    • Md. Shamsul Rayhan Chy, Md. Shamsul Rahat Chy, Mohammad Rakibul Hasan Mahin, Mohammad Muhibur Rahman, Md Sabbir Hossain, Annajiat Alim Rasel
    Pages 194-202

  17. Style Recognition of Calligraphic Chinese Characters Based on Morphological Convolutional Neural Network

    • Qing Jiao, Zhenyu Wang, Huan Sun, Junhui Zhu, Junping Wang
    Pages 203-215

  18. Active Semantic Localization with Graph Neural Embedding

    • Mitsuki Yoshida, Kanji Tanaka, Ryogo Yamamoto, Daiki Iwata
    Pages 216-230

  19. A Multimodal Approach to Single-Modal Visual Place Classification

    • Tomoya Iwasaki, Kanji Tanaka, Kenta Tsukahara
    Pages 231-244

  20. A Simplified Student Network with Multi-teacher Feature Fusion for Industrial Defect Detection

    • Mingjing Pei, Ningzhong Liu
    Pages 245-258
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Other volumes

  1. Pattern Recognition

  2. Pattern Recognition

  3. Pattern Recognition

Keywords

About this book

This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.

Editors and Affiliations

  • Kyushu Institute of Technology, Kitakyushu, Japan

    Huimin Lu, Tohru Kamiya

  • The University of Sydney, Sydney, Australia

    Michael Blumenstein

  • Yonsei University, Seoul, Korea (Republic of)

    Sung-Bae Cho

  • Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu

  • Osaka University, Osaka, Japan

    Yasushi Yagi

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part I

  • Editors: Huimin Lu, Michael Blumenstein, Sung-Bae Cho, Cheng-Lin Liu, Yasushi Yagi, Tohru Kamiya

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-47634-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-47633-4Published: 05 November 2023

  • eBook ISBN: 978-3-031-47634-1Published: 04 November 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXI, 433

  • Number of Illustrations: 18 b/w illustrations, 158 illustrations in colour

  • Topics: Pattern Recognition, Artificial Intelligence, Computer Applications

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