Concepedia

Semi-supervised Depth Estimation

Semi-Supervised Depth Estimation is a depth estimation method that leverages both labeled and unlabeled data during training, distinguishing itself from fully supervised and unsupervised approaches by combining sparse ground truth depth information with data-driven learning from unlabeled sequences to improve depth prediction accuracy.

17

Publications

1.3K

Citations

66

Authors

24

Institutions

Publications per year

2017–2026

17

Parents

Publications

17

Semi-Supervised Deep Learning for Monocular Depth Map Prediction

Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe · 2017 · 688 citations

, , +15

DepthNet: A Recurrent Neural Network Architecture for Monocular Depth Prediction

Aran C.S. Kumar, Suchendra M. Bhandarkar, Mukta Prasad · 2018 · 107 citations

, , +16

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

Nikolai Smolyanskiy, A. Kamenev, Stan Birchfield · 2018 · 99 citations

, , +17

Semi-Supervised Deep Learning for Monocular Depth Map Prediction

Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe · arXiv (Cornell University) · 2017 · 90 citations · Full text

, , +15

Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network

Ali Amiri, Shing Yan Loo, Hong Zhang · 2019 · 66 citations

, , +16

1–5 of 17

Authors

66

  1. AG
    Adrien Gaidon

    Toyota Research Institute

    2 publications · 59 citations

    2

    h-index

  2. RA
    Rareş Ambruş

    Toyota Research Institute

    2 publications · 59 citations

    2

    h-index

  3. VG
    Vitor Guizilini

    The University of Sydney, Australia

    2 publications · 59 citations

    2

    h-index

  4. JS
    Jörg Stückler

    University of Bonn, Germany

    2 publications · 778 citations

    2

    h-index

  5. YK
    Yevhen Kuznietsov

    KU Leuven, Belgium

    2 publications · 778 citations

    2

    h-index

1–5 of 66

Institutions

24

  1. RWTH Aachen University

    Aachen, Germany

    2 h-index

    6 publications

    2.3K citations

  2. Xi'an High Tech University

    Xi'an, China

    1 h-index

    4 publications

    68 citations

  3. Max Planck Institute for Informatics

    Saarbrücken, Germany

    1 h-index

    1 publications

    39 citations

  4. Beihang University

    Beijing, China

    1 h-index

    3 publications

    60 citations

  5. University of Georgia

    Athens, United States

    1 h-index

    2 publications

    214 citations

  6. Toyota Research Institute

    Palo Alto, United States

    1 h-index

    5 publications

    175 citations

  7. Microsoft (United States)

    Redmond, United States

    1 h-index

    1 publications

    56 citations

  8. Nanjing University of Aeronautics and Astronautics

    Nanjing, China

    1 h-index

    4 publications

    64 citations

1–8 of 24

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 151 citations

    4

    h-index

  2. 1

    h-index

  3. Science China Technological Sciences

    1 publications · 10 citations

    1

    h-index

  4. IEEE Access

    1 publications · 30 citations

    1

    h-index

  5. Journal of Intelligent & Robotic Systems

    1 publications · 17 citations

    1

    h-index

1–5