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Pattern Recognition and Computer Vision

4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Huimin Ma

    1. University of Science and Technology Beijing, Beijing, China

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  2. Liang Wang

    1. Chinese Academy of Sciences, Beijing, China

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  3. Changshui Zhang

    1. Tsinghua University, Beijing, China

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  4. Fei Wu

    1. Zhejiang University, Hangzhou, China

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  5. Tieniu Tan

    1. Chinese Academy of Sciences, Beijing, China

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  6. Yaonan Wang

    1. Hunan University, Changsha, China

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  7. Jianhuang Lai

    1. Sun Yat-Sen University, Guangzhou, China

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  8. Yao Zhao

    1. Beijing Jiaotong University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13022)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: PRCV 2021.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Machine Learning, Neural Network and Deep Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Edge-Wise One-Level Global Pruning on NAS Generated Networks

      • Qiantai Feng, Ke Xu, Yuhai Li, Yuxin Sun, Dong Wang
      Pages 3-15

    3. Convolution Tells Where to Look

      • Fan Xu, Lijuan Duan, Yuanhua Qiao, Ji Chen
      Pages 16-28

    4. Robust Single-Step Adversarial Training with Regularizer

      • Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu
      Pages 29-41

    5. Texture-Guided U-Net for OCT-to-OCTA Generation

      • Ziyue Zhang, Zexuan Ji, Qiang Chen, Songtao Yuan, Wen Fan
      Pages 42-52

    6. Learning Key Actors and Their Interactions for Group Activity Recognition

      • Yutai Duan, Jianming Wang
      Pages 53-65

    7. Attributed Non-negative Matrix Multi-factorization for Data Representation

      • Jie Wang, Yanfeng Sun, Jipeng Guo, Yongli Hu, Baocai Yin
      Pages 66-77

    8. Improved Categorical Cross-Entropy Loss for Training Deep Neural Networks with Noisy Labels

      • Panle Li, Xiaohui He, Dingjun Song, Zihao Ding, Mengjia Qiao, Xijie Cheng et al.
      Pages 78-89

    9. A Residual Correction Approach for Semi-supervised Semantic Segmentation

      • Haoliang Li, Huicheng Zheng
      Pages 90-102

    10. Hypergraph Convolutional Network with Hybrid Higher-Order Neighbors

      • Jiahao Huang, Fangyuan Lei, Senhong Wang, Song Wang, Qingyun Dai
      Pages 103-114

    11. Text-Aware Single Image Specular Highlight Removal

      • Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan
      Pages 115-127

    12. Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model

      • Yingying Chen, Xinwen Hou, Yu Liu
      Pages 128-139

    13. A Competition of Shape and Texture Bias by Multi-view Image Representation

      • Lingwei Kong, Jianzong Wang, Zhangcheng Huang, Jing Xiao
      Pages 140-151

    14. Learning Indistinguishable and Transferable Adversarial Examples

      • Wu Zhang, Junhua Zou, Yexin Duan, Xingyu Zhou, Zhisong Pan
      Pages 152-164

    15. Efficient Object Detection and Classification of Ground Objects from Thermal Infrared Remote Sensing Image Based on Deep Learning

      • Falin Wu, Guopeng Zhou, Jiaqi He, Haolun Li, Yushuang Liu, Gongliu Yang
      Pages 165-175

    16. MEMA-NAS: Memory-Efficient Multi-Agent Neural Architecture Search

      • Qi Kong, Xin Xu, Liangliang Zhang
      Pages 176-187

    17. Adversarial Decoupling for Weakly Supervised Semantic Segmentation

      • Guoying Sun, Meng Yang, Wenfeng Luo
      Pages 188-200

    18. Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark

      • Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song
      Pages 201-213

    19. Efficient and Real-Time Particle Detection via Encoder-Decoder Network

      • Yuanyuan Wang, Ling Ma, Lihua Jian, Huiqin Jiang
      Pages 214-226
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Other volumes

  1. Pattern Recognition and Computer Vision

  2. Pattern Recognition and Computer Vision

  3. Pattern Recognition and Computer Vision

  4. Pattern Recognition and Computer Vision

Keywords

About this book

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.

The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

Editors and Affiliations

  • University of Science and Technology Beijing, Beijing, China

    Huimin Ma

  • Chinese Academy of Sciences, Beijing, China

    Liang Wang, Tieniu Tan

  • Tsinghua University, Beijing, China

    Changshui Zhang

  • Zhejiang University, Hangzhou, China

    Fei Wu

  • Hunan University, Changsha, China

    Yaonan Wang

  • Sun Yat-Sen University, Guangzhou, China

    Jianhuang Lai

  • Beijing Jiaotong University, Beijing, China

    Yao Zhao

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