Hasil Pencarian - Zhenqi Han

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  1. 1
    Recognizing Facial Expressions Using a Shallow Convolutional Neural Network

    Recognizing Facial Expressions Using a Shallow Convolutional Neural Network oleh Si Miao, Haoyu Xu, Zhenqi Han, Yongxin Zhu

    Diterbitkan 2019-01-01
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  2. 2
    Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution

    Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution oleh Hongyang Li, Lizhuang Liu, Zhenqi Han, Dan Zhao

    Diterbitkan 2019-07-01
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  3. 3
    DCSPose: A Dual-Channel Siamese Framework for Unseen Textureless Object Pose Estimation

    DCSPose: A Dual-Channel Siamese Framework for Unseen Textureless Object Pose Estimation oleh Zhen Yue, Zhenqi Han, Xiulong Yang, Lizhuang Liu

    Diterbitkan 2024-01-01
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  4. 4
    BFRVSR: A Bidirectional Frame Recurrent Method for Video Super-Resolution

    BFRVSR: A Bidirectional Frame Recurrent Method for Video Super-Resolution oleh Xiongxiong Xue, Zhenqi Han, Weiqin Tong, Mingqi Li, Lizhuang Liu

    Diterbitkan 2020-12-01
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  5. 5
    Foreign object debris material recognition based on convolutional neural networks

    Foreign object debris material recognition based on convolutional neural networks oleh Haoyu Xu, Zhenqi Han, Songlin Feng, Han Zhou, Yuchun Fang

    Diterbitkan 2018-04-01
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  6. 6
    YOLOv3-Lite: A Lightweight Crack Detection Network for Aircraft Structure Based on Depthwise Separable Convolutions

    YOLOv3-Lite: A Lightweight Crack Detection Network for Aircraft Structure Based on Depthwise Separable Convolutions oleh Yadan Li, Zhenqi Han, Haoyu Xu, Lizhuang Liu, Xiaoqiang Li, Keke Zhang

    Diterbitkan 2019-09-01
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  7. 7
    SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation

    SEU2-Net: multi-scale U2-Net with SE attention mechanism for liver occupying lesion CT image segmentation oleh Lizhuang Liu, Kun Wu, Ke Wang, Zhenqi Han, Jianxing Qiu, Qiao Zhan, Tian Wu, Jinghang Xu, Zheng Zeng

    Diterbitkan 2024-01-01
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  8. 8
    EU-Net: Efficient Dense Skip-Connected Autoencoder for Medical Image Segmentation

    EU-Net: Efficient Dense Skip-Connected Autoencoder for Medical Image Segmentation oleh Lizhuang Liu, Jiacun Qiu, Ke Wang, Qiao Zhan, Jiaxi Jiang, Zhenqi Han, Jianxin Qiu, Tian Wu, Jinghang Xu, Zheng Zeng

    Diterbitkan 2023-01-01
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