Survey of the VR Environment for Deep Learning Model Development

被引:0
|
作者
Naraha, Taisei [1 ]
Akimoto, Kouta [1 ]
Yairi, Ikuko Eguchi [1 ]
机构
[1] Sophia Univ, Grad Sch Sci & Technol, Tokyo, Japan
来源
关键词
Human-computer Interaction; Deep learning; Machine learning; VIRTUAL ENVIRONMENTS;
D O I
10.1007/978-3-030-96451-1_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As deep learning research develops and models become larger and more complex, there are increasing concerns to deep learning about its' low ability of explanations to humans and its black box characteristics. Model visualization research of DL (Deep Learning) has been attracting attention for a decade for a solution to this concern. VR (Virtual Reality) interaction research between humans and models is a practical means of model visualization research with great potential but is still in the early stages. The purpose of our study is to propose new methods for VR technology to contribute to the development of deep learning models by investigating and implementing the visualization technology of deep learning and VR research projects. In this paper, we also report our two experimental results. One is a web survey using demo images of a PC application and a VR goggles application, and the other is an evaluation experiment using VR goggles.
引用
收藏
页码:154 / 164
页数:11
相关论文
共 50 条
  • [41] Survey on Blockchain and Deep Learning
    Zhang, Yizhuo
    Liu, Yiwei
    Chen, Chi-Hua
    [J]. 2020 IEEE 19TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2020), 2020, : 1989 - 1994
  • [42] A survey: evolutionary deep learning
    Yifan Li
    Jing Liu
    [J]. Soft Computing, 2023, 27 : 9401 - 9423
  • [43] A survey: evolutionary deep learning
    Li, Yifan
    Liu, Jing
    [J]. SOFT COMPUTING, 2023, 27 (14) : 9401 - 9423
  • [44] Deep Learning for Biometrics: A Survey
    Sundararajan, Kalaivani
    Woodard, Damon L.
    [J]. ACM COMPUTING SURVEYS, 2018, 51 (03)
  • [45] Evolutionary deep learning: A survey
    Zhan, Zhi-Hui
    Li, Jian-Yu
    Zhang, Jun
    [J]. NEUROCOMPUTING, 2022, 483 : 42 - 58
  • [46] A Survey of Deep Active Learning
    Ren, Pengzhen
    Xiao, Yun
    Chang, Xiaojun
    Huang, Po-Yao
    Li, Zhihui
    Gupta, Brij B.
    Chen, Xiaojiang
    Wang, Xin
    [J]. ACM COMPUTING SURVEYS, 2022, 54 (09)
  • [47] Deep Metric Learning: A Survey
    Kaya, Mahmut
    Bilge, Hasan Sakir
    [J]. SYMMETRY-BASEL, 2019, 11 (09):
  • [48] A Survey on Deep Transfer Learning
    Tan, Chuanqi
    Sun, Fuchun
    Kong, Tao
    Zhang, Wenchang
    Yang, Chao
    Liu, Chunfang
    [J]. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III, 2018, 11141 : 270 - 279
  • [49] Deep Learning on Graphs: A Survey
    Zhang, Ziwei
    Cui, Peng
    Zhu, Wenwu
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34 (01) : 249 - 270
  • [50] A Survey on Active Deep Learning: From Model Driven to Data Driven
    Liu, Peng
    Wang, Lizhe
    Ranjan, Rajiv
    He, Guojin
    Zhao, Lei
    [J]. ACM COMPUTING SURVEYS, 2022, 54 (10S)