Concepedia

Deep Feature Extraction

Deep Feature Extraction is a feature extraction method that leverages deep neural networks to automatically learn hierarchical representations from raw data by capturing high-level abstractions through multiple nonlinear transformations.

2.8K

Publications

229.8K

Citations

10.4K

Authors

2.3K

Institutions

Publications per year

2017–2026

2.5K

Parents

Publications

2.8K

Extracting and composing robust features with denoising autoencoders

Pascal Vincent, Hugo Larochelle, Yoshua Bengio et al. · 2008 · 7.3K citations

, , +16

SwinIR: Image Restoration Using Swin Transformer

Jingyun Liang, Jiezhang Cao, Guolei Sun et al. · 2021 · 4.2K citations

, , +16

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Jeff Donahue, Yangqing Jia, Oriol Vinyals et al. · arXiv (Cornell University) · 2013 · 3.6K citations · Full text

, , +17

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Yushi Chen, Hanlu Jiang, Chunyang Li et al. · IEEE Transactions on Geoscience and Remote Sensing · 2016 · 2.9K citations

, , +16

Deep Learning-Based Classification of Hyperspectral Data

Yushi Chen, Zhouhan Lin, Xing Zhao et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2014 · 2.6K citations

, , +15

1–5 of 2.8K

Authors

10.4K

  1. YW
    Yalin Wang

    Central South University, China

    12 publications · 1.7K citations

    12

    h-index

  2. XY
    Xiaofeng Yuan

    Central South University, China

    13 publications · 1.7K citations

    12

    h-index

  3. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    11 publications · 525 citations

    11

    h-index

  4. SA
    Shahin Amiriparian

    University of Augsburg, Germany

    9 publications · 357 citations

    9

    h-index

  5. JY
    Jianbo Yu

    Tongji University, China

    9 publications · 356 citations

    9

    h-index

1–5 of 10.4K

Institutions

2.3K

  1. Chinese Academy of Sciences

    Beijing, China

    38 h-index

    230 publications

    19.7K citations

  2. Xidian University

    Xi'an, China

    36 h-index

    213 publications

    19.8K citations

  3. Shanghai Jiao Tong University

    Shanghai, China

    30 h-index

    151 publications

    8.5K citations

  4. Zhejiang University

    Hangzhou, China

    29 h-index

    109 publications

    11.3K citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    29 h-index

    122 publications

    9.3K citations

  6. Tsinghua University

    Beijing, China

    28 h-index

    116 publications

    10K citations

  7. Wuhan University

    Wuhan, China

    28 h-index

    128 publications

    13.9K citations

  8. Central South University

    Changsha, China

    28 h-index

    173 publications

    13.3K citations

1–8 of 2.3K

Venues

  1. IEEE Access

    153 publications · 9.8K citations

    54

    h-index

  2. arXiv (Cornell University)

    Repository · 161 publications · 15.2K citations

    48

    h-index

  3. IEEE Transactions on Geoscience and Remote Sensing

    75 publications · 10.1K citations

    43

    h-index

  4. Remote Sensing

    69 publications · 4.2K citations

    33

    h-index

  5. Sensors

    66 publications · 6.2K citations

    31

    h-index

1–5