Deep Learning for Visual Content Analysis

被引:1
|
作者
Iosifidis, Alexandros [1 ]
Tefas, Anastasios [2 ]
机构
[1] Aarhus Univ, Dept Engn, Aarhus, Denmark
[2] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki, Greece
关键词
D O I
10.1016/j.image.2020.115806
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
7
引用
收藏
页数:2
相关论文
共 50 条
  • [31] Deep learning algorithm with visual impression
    Yang, Mengduo
    Li, Fanzhang
    Zhang, Li
    Zhang, Zhao
    INFORMATION PROCESSING LETTERS, 2018, 136 : 1 - 4
  • [32] Visual Analytics for Explainable Deep Learning
    Choo, Jaegul
    Liu, Shixia
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2018, 38 (04) : 84 - 92
  • [33] Deep Learning Algorithm with Visual Impression
    He, Funan
    Yang, Mengduo
    Li, Fanzhang
    2017 INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2017,
  • [34] Deep Learning for Visual Data Compression
    Lu, Guo
    Yang, Ren
    Wang, Shenlong
    Liu, Shan
    Timofte, Radu
    PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021, 2021, : 5683 - 5685
  • [35] Deep learning for manipulator visual positioning
    Cheng, H.
    Xin, J.
    Yao, Y. M.
    Zhang, Y. M.
    Liu, D.
    2018 IEEE 8TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER), 2018, : 373 - 378
  • [36] Deep learning for visual understanding: A review
    Guo, Yanming
    Liu, Yu
    Oerlemans, Ard
    Lao, Songyang
    Wu, Song
    Lew, Michael S.
    NEUROCOMPUTING, 2016, 187 : 27 - 48
  • [37] Deep Learning for Visual Segmentation: A Review
    Sun, Jiaxing
    Li, Yujie
    Lu, Huimin
    Kamiya, Tohru
    Serikawa, Seiichi
    2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020), 2020, : 1256 - 1260
  • [38] Deep Learning in Visual Tracking: A Review
    Jiao, Licheng
    Wang, Dan
    Bai, Yidong
    Chen, Puhua
    Liu, Fang
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (09) : 5497 - 5516
  • [39] Visual interpretability for deep learning: a survey
    Quan-shi Zhang
    Song-chun Zhu
    Frontiers of Information Technology & Electronic Engineering, 2018, 19 : 27 - 39
  • [40] Active Learning for Deep Visual Tracking
    Yuan, Di
    Chang, Xiaojun
    Liu, Qiao
    Yang, Yi
    Wang, Dehua
    Shu, Minglei
    He, Zhenyu
    Shi, Guangming
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (10) : 13284 - 13296