Showing 1 - 18 results of 18 for search '"CNN"', query time: 0.81s Refine Results
  1. 1
    by Saman Riaz, Ali Arshad, Licheng Jiao
    Published 2019-01-01
    ...-scale big image data set. Deep learning network such as CNN requires a large number of labeled samples...
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    Article
  2. 2
  3. 3
    by Saman Riaz, Ali Arshad, Licheng Jiao
    Published 2018-10-01
    ... Networks (CNN) are now state-of-the-art for many recognition and clustering tasks. However...
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    Article
  4. 4
    ... propose a multi-scale image block-level fully convolutional neural network (MIF-CNN) for remote sensing...
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  5. 5
    Subjects: ...Convolutional neural network (CNN)...
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  9. 9
    by Zhe Meng, Licheng Jiao, Miaomiao Liang, Feng Zhao
    Published 2021-01-01
    Subjects: ...Convolutional neural network (CNN)...
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    Article
  10. 10
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  12. 12
    by Yangyang Li, Yanqiao Chen, Guangyuan Liu, Licheng Jiao
    Published 2018-12-01
    Subjects: ...convolutional neural network (CNN)...
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    Article
  13. 13
    ...Convolutional neural network (CNN) is well-known for its powerful capability on image...
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    Article
  14. 14
    by Huihui Dong, Wenping Ma, Yue Wu, Maoguo Gong, Licheng Jiao
    Published 2019-01-01
    ...In this paper, we present a novel convolutional neural network (CNN)-based model for change...
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    Article
  15. 15
    by Wentao Yu, Jing Bai, Licheng Jiao
    Published 2020-01-01
    ... technical challenges. First, conventional CNN and other networks are limited by performance constraints...
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    Article
  16. 16
    by Licheng Jiao, Jin Zhao
    Published 2019-01-01
    ... deep learning model series, which includes CNN series, GAN series, ELM-RVFL series, and other series...
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    Article
  17. 17
    ... important, MSSP-Net is more efficient than S-PCA-Net and convolutional neural networks (CNN) with less...
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  18. 18
    ... inspired by Mask R-CNN, namely RADet. RADet can obtain the rotation bounding box of objects with shape mask...
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    Article