Deep Convolutional Neural Networks Discriminate Between Different Types of Material Kinematics

被引:0
|
作者
Mehrzadfar, Hossein [1 ]
Schmid, Alexandra [2 ]
Ashrafnejad, Arash [3 ]
Boyaci, Huseyin [4 ,5 ]
Doerschner, Katja [2 ,4 ]
机构
[1] Bilkent Univ, Grad Sch Engn & Sci, Neurosci Program, Ankara, Turkey
[2] Justus Liebig Univ Giessen, Dept Psychol, Giessen, Germany
[3] Bilkent Univ, Dept Elect & Elect Engn, Ankara, Turkey
[4] Bilkent Univ, Dept Psychol, Ankara, Turkey
[5] Bilkent Univ, Neurosci Program, Ankara, Turkey
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
引用
收藏
页码:52 / 52
页数:1
相关论文
共 50 条
  • [1] Evaluating Deep Convolutional Neural Networks for Material Classification
    Kalliatakis, Grigorios
    Stamatiadis, Georgios
    Ehsan, Shoaib
    Leonardis, Ales
    Gall, Juergen
    Sticlaru, Anca
    McDonald-Maier, Klaus D.
    PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 5, 2017, : 346 - 352
  • [2] Classification of vehicle types using fused deep convolutional neural networks
    Qian, Zichen
    Zhao, Chihang
    Zhang, Bailing
    Lin, Shengmei
    Hua, Liru
    Li, Hao
    Ma, Xiaogang
    Ma, Teng
    Wang, Xinliang
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2022, 42 (06) : 5125 - 5137
  • [3] Deep Convolutional Neural Networks
    Gonzalez, Rafael C.
    IEEE SIGNAL PROCESSING MAGAZINE, 2018, 35 (06) : 79 - 87
  • [4] Object recognition in deep convolutional neural networks is fundamentally different to that in humans
    Lonnqvist, Ben
    Clarke, Alasdair D. F.
    Chakravarthi, Ramakrishna
    I-PERCEPTION, 2019, 10 : 7 - 7
  • [5] Precise automatic classification of 46 different pollen types with convolutional neural networks
    Sevillano, Victor
    Holt, Katherine
    Aznarte, Jose L.
    PLOS ONE, 2020, 15 (06):
  • [7] Deep Convolutional Neural Networks Applied to Ultrasonic Images for Material Texture Recognition
    Zhang, Xin
    Wang, Boyang
    Saniie, Jafar
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
  • [8] Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography
    Lahivaara, Timo
    Karkkainen, Leo
    Huttunen, Janne M. J.
    Hesthaven, Jan S.
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2018, 143 (02): : 1148 - 1158
  • [9] Deep Anchored Convolutional Neural Networks
    Huang, Jiahui
    Dwivedi, Kshitij
    Roig, Gemma
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 639 - 647
  • [10] Deep Unitary Convolutional Neural Networks
    Chang, Hao-Yuan
    Wang, Kang L.
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2021, PT II, 2021, 12892 : 170 - 181