Concepedia

Data Augmentation For Simulation

Data Augmentation for Simulation is a computational technique within Sim-To-Real Transfer that enhances the diversity and realism of synthetic training data through algorithmic transformations, thereby improving the generalization of models trained in simulation to real-world environments.

142

Publications

9.1K

Citations

595

Authors

243

Institutions

Publications per year

2017–2026

115

Parents

Publications

142

Multiple Imputation for Missing Data

Paul D. Allison · Sociological Methods & Research · 2000 · 795 citations

, , +16

Synthetic data in machine learning for medicine and healthcare

Richard J. Chen, Ming Y. Lu, Tiffany Chen et al. · Nature Biomedical Engineering · 2021 · 699 citations · Full text

, , +11

The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines

Jon Barker, Ricard Marxer, Emmanuel Vincent et al. · 2015 · 665 citations · Full text

, , +10

The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem

Jun S. Liu · Journal of the American Statistical Association · 1994 · 631 citations

, , +17

Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging

Fei Wang, Hao Wang, Haichao Wang et al. · Optics Express · 2019 · 322 citations · Full text

, , +17

1–5 of 142

Authors

595

  1. JL
    Junwei Liang

    Carnegie Mellon University, United States

    2 publications · 27 citations

    2

    h-index

  2. BK
    B. K. Spears

    Lawrence Livermore National Laboratory, United States

    2 publications · 100 citations

    2

    h-index

  3. WL
    Wenda Li

    University College London, United Kingdom

    2 publications · 38 citations

    2

    h-index

  4. PS
    Peter‐Pike Sloan

    Microsoft (United States), United States

    2 publications · 163 citations

    2

    h-index

  5. LK
    Ladislav Kavan

    Czech Academy of Sciences, J. Heyrovský Institute of Physical Chemistry, Czechia

    2 publications · 163 citations

    2

    h-index

1–5 of 595

Institutions

243

  1. Imperial College London

    London, United Kingdom

    4 h-index

    9 publications

    380 citations

  2. Harvard University

    Cambridge, United States

    4 h-index

    13 publications

    4.7K citations

  3. University of Utah

    Salt Lake City, United States

    4 h-index

    9 publications

    679 citations

  4. Google (United States)

    Mountain View, United States

    3 h-index

    3 publications

    93 citations

  5. United States Air Force Research Laboratory

    Wright-Patterson AFB, United States

    3 h-index

    3 publications

    53 citations

  6. Universitat de Barcelona

    Barcelona, Spain

    3 h-index

    4 publications

    189 citations

  7. University of Toronto

    Toronto, Canada

    3 h-index

    4 publications

    224 citations

  8. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    10 publications

    1.9K citations

1–8 of 243

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 335 citations

    11

    h-index

  2. IEEE Access

    5 publications · 150 citations

    5

    h-index

  3. ACM Transactions on Graphics

    TOG · 3 publications · 221 citations

    3

    h-index

  4. 3

    h-index

  5. Sensors

    2 publications · 91 citations

    2

    h-index

1–5