Showing 181 - 200 results of 11,333 for search '"CNN"', query time: 0.86s Refine Results
  1. 181
    ... to any format. The presented approach is based on a novel combination of deformable CNN with faster R-CNN...
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  2. 182
    by Jinjiang Li, Guihui Li, Hui Fan
    Published 2018-01-01
    ... residual-based deep CNN. The network model is divided into two phases: in the first stage, a haze image...
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  3. 183
    by Yeongmin Kim, Joonho Kong, Arslan Munir
    Published 2020-01-01
    ..., CNN hardware accelerators are also being employed in resource-constrained edge devices for achieving...
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  4. 184
    ... attention recently. In this paper, we propose a convolutional neural network (CNN)-based LWRT, where...
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  5. 185
  6. 186
    by Chunning Meng, Xuepeng Zhao
    Published 2017-01-01
    ... single convolutional neural network (CNN) is trained for eye feature point detection, and five eye...
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  7. 187
    ... visualization. Convolutional Neural Network (CNN) with the right architecture makes this method able...
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  8. 188
    .... The proposed architecture is then used as backbone for the well-known Faster-R-CNN pipeline, defining a MS...
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  9. 189
    by Rudelius, Johan, Zetterström, Erik
    Published 2020
    ... a CNN which could outperform board certified dermatologists in several skin cancer classification...
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  10. 190
    by HUANG, GANG-CHENG, 黃綱正
    Published 2019
    ... the combination of CNN and LSTM models. ...
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  11. 191
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  13. 193
    by Wang, Bang-Chyuan, 王邦全
    Published 2018
    .... Machine learning models should be supported for IoT devices. For example, Convolution Neural Network(CNN...
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  14. 194
  15. 195
    by Huang, Shiuan, 黃暄
    Published 2016
    ... and the Convolutional Neural Network (CNN) feature as the high-level feature for retrieval. In using the SIFT features...
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  19. 199
    by Chen-chia,Yen, 顏振家
    Published 2019
    ... stroke. We found that Mask R-CNN, the winner of the COCO 2016 challenge, is superior to other methods...
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  20. 200
    by Cheng-Jung Chuang, 莊承蓉
    Published 2018
    .... In this paper, we propose an architecture of facial emotions recognizing system implemented with deep CNN...
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