Unsupervised domain-adaptive scene-specific pedestrian detection for static video surveillance

被引:0
|
作者
Mou, Quanzheng [1 ]
Wei, Longsheng [2 ]
Wang, Conghao [3 ]
Luo, Dapeng [1 ]
He, Songze [1 ]
Zhang, Jing [1 ]
Xu, Huimin [1 ]
Luo, Chen [5 ]
Gao, Changxin [4 ]
机构
[1] School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan,430074, China
[2] School of Automation, China University of Geosciences, Wuhan,430074, China
[3] School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan,430074, China
[4] School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan,430074, China
[5] Huizhou School Affiliated to Beijing Normal University, Huizhou,516002, China
基金
中国国家自然科学基金;
关键词
48;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Progressive Latent Models for Self-Learning Scene-Specific Pedestrian Detectors
    Ye, Qixiang
    Zhang, Tianliang
    Ke, Wei
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (04) : 1415 - 1426
  • [22] Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
    Ye, Qixiang
    Zhang, Tianliang
    Ke, Wei
    Qiu, Qiang
    Chen, Jie
    Sapiro, Guillermo
    Zhang, Baochang
    30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 2057 - 2066
  • [23] Self-learning scene-specific pedestrian detectors using a progressive latent model
    Ke, Wei (kewei11@mails.ucas.ac.cn), 2017, Institute of Electrical and Electronics Engineers Inc., United States (2017-January):
  • [24] Specialized Indoor and Outdoor Scene-specific Object Detection Models
    Jamali, Mahtab
    Davidsson, Paul
    Khoshkangini, Reza
    Ljungqvist, Martin Georg
    Mihailescu, Radu-Casian
    SIXTEENTH INTERNATIONAL CONFERENCE ON MACHINE VISION, ICMV 2023, 2024, 13072
  • [25] Flow Mosaicking: Real-time Pedestrian Counting without Scene-specific Learning
    Cong, Yang
    Gong, Haifeng
    Zhu, Song-Chun
    Tang, Yandong
    CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4, 2009, : 1093 - +
  • [26] Online Unsupervised Learning Classification of Pedestrian and Vehicle for Video Surveillance
    HE Yi
    SANG Nong
    GAO Changxin
    HAN Jun
    ChineseJournalofElectronics, 2017, 26 (01) : 145 - 151
  • [27] Online Unsupervised Learning Classification of Pedestrian and Vehicle for Video Surveillance
    He Yi
    Sang Nong
    Gao Changxin
    Han Jun
    CHINESE JOURNAL OF ELECTRONICS, 2017, 26 (01) : 145 - 151
  • [28] Style transfer for unsupervised domain-adaptive person re-identification
    Chong, Yanwen
    Peng, Chengwei
    Zhang, Jingjing
    Pan, Shaoming
    NEUROCOMPUTING, 2021, 422 : 314 - 321
  • [29] Unsupervised Domain-Adaptive SAR Ship Detection Based on Cross-Domain Feature Interaction and Data Contribution Balance
    Yang, Yanrui
    Chen, Jie
    Sun, Long
    Zhou, Zheng
    Huang, Zhixiang
    Wu, Bocai
    REMOTE SENSING, 2024, 16 (02)
  • [30] Unsupervised Deep Domain Adaptation for Pedestrian Detection
    Liu, Lihang
    Lin, Weiyao
    Wu, Lisheng
    Yu, Yong
    Yang, Michael Ying
    COMPUTER VISION - ECCV 2016 WORKSHOPS, PT II, 2016, 9914 : 676 - 691