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SLf-UNet: Improved UNet for Brain MRI Segmentation by Combining Spatial and Low-Frequency Domain Features

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  1. Chapter and Conference Paper

    MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data

    Feature engineering usually needs to excavate dense-and-implicit cross features from multi-filed sparse data. Recently, many state-of-the-art models have been proposed to achieve low-order and high-order feat...

    Zhifeng **e, Wenling Zhang, Huiming Ding in Advances in Knowledge Discovery and Data M… (2020)

  2. Chapter and Conference Paper

    Low-Light Image Enhancement Based on Constrained Norm Estimation

    Low-light images often suffer from poor quality and low visibility. Improving the quality of low-light image is becoming a highly desired subject in both computational photography and computer vision applicati...

    Tan Zhao, Hui Ding, Yuanyuan Shang, **uzhuang Zhou in Computer Vision (2017)