Bayesian deep learning for semantic segmentation of food images

被引：0
|
作者：
Aguilar, Eduardo [1 ]
Nagarajan, Bhalaji [2 ]
Remeseiro, Beatriz [3 ]
Radeva, Petia [2 ,4 ]
机构：
[1] Department of Computing and Systems Engineering, Catholic University of the North, Avenida Angamos 0610, Antofagasta, Antofagasta,1270709, Chile
[2] Departament de Matematiques i Informatica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, Barcelona, Barcelona,08007, Spain
[3] Department of Computer Science, Universidad de Oviedo, Campus de Gijon s/n, Asturias, Gijon,33203, Spain
[4] Computer Vision Center, Cerdanyola (Barcelona), Spain
来源：
Computers and Electrical Engineering | 2022年 / 103卷
关键词：
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
  • [1] Bayesian deep learning for semantic segmentation of food images
    Aguilar, Eduardo
    Nagarajan, Bhalaji
    Remeseiro, Beatriz
    Radeva, Petia
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 103
  • [2] Bayesian deep learning for affordance segmentation in images
    Mur-Labadia, Lorenzo
    Martinez-Cantin, Ruben
    Guerrero, Jose J.
    2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA, 2023, : 6981 - 6987
  • [3] Blood Cell Images Segmentation using Deep Learning Semantic Segmentation
    Thanh Tran
    Kwon, Oh-Heum
    Kwon, Ki-Ryong
    Lee, Suk-Hwan
    Kang, Kyung-Won
    2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION ENGINEERING (ICECE 2018), 2018, : 13 - 16
  • [4] Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
    Iwamoto, Sora
    Raytchev, Bisser
    Tamaki, Toru
    Kaneda, Kazufumi
    UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING, AND PERINATAL IMAGING, PLACENTAL AND PRETERM IMAGE ANALYSIS, 2021, 12959 : 34 - 43
  • [5] Semantic segmentation of multispectral photoacoustic images using deep learning
    Schellenberg, Melanie
    Dreher, Kris K.
    Holzwarth, Niklas
    Isensee, Fabian
    Reinke, Annika
    Schreck, Nicholas
    Seitel, Alexander
    Tizabi, Minu D.
    Maier-Hein, Lena
    Groehl, Janek
    PHOTOACOUSTICS, 2022, 26
  • [6] DEEP LEARNING FOR SEMANTIC SEGMENTATION OF CORAL IMAGES IN UNDERWATER PHOTOGRAMMETRY
    Zhang, Hanqi
    Gruen, Armin
    Li, Ming
    XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II, 2022, 5-2 : 343 - 350
  • [7] Semantic Nuclei Segmentation with Deep Learning on Breast Pathology Images
    Turan, Sevcan
    Bilgin, Gokhan
    2019 SCIENTIFIC MEETING ON ELECTRICAL-ELECTRONICS & BIOMEDICAL ENGINEERING AND COMPUTER SCIENCE (EBBT), 2019,
  • [8] Semantic Segmentation of Autonomous Driving Images by the Combination of Deep Learning and Classical Segmentation
    Hamian, Mohammad Hosein
    Beikmohammadi, Ali
    Ahmadi, Ali
    Nasersharif, Babak
    2021 26TH INTERNATIONAL COMPUTER CONFERENCE, COMPUTER SOCIETY OF IRAN (CSICC), 2021,
  • [9] Deep Semantic Segmentation of Angiogenesis Images
    Ibragimov, Alisher
    Senotrusova, Sofya
    Markova, Kseniia
    Karpulevich, Evgeny
    Ivanov, Andrei
    Tyshchuk, Elizaveta
    Grebenkina, Polina
    Stepanova, Olga
    Sirotskaya, Anastasia
    Kovaleva, Anastasiia
    Oshkolova, Arina
    Zementova, Maria
    Konstantinova, Viktoriya
    Kogan, Igor
    Selkov, Sergey
    Sokolov, Dmitry
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (02)
  • [10] Frontispiece: Semantic segmentation of satellite images using deep learning mechanisms
    不详
    PHOTOGRAMMETRIC RECORD, 2021, 36 (176): : 359 - 359
12345