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    Chapter and Conference Paper

    Unleashing the Potential of Adaptation Models via Go-getting Domain Labels

    In this paper, we propose an embarrassingly simple yet highly effective adversarial domain adaptation (ADA) method. We view ADA problem primarily from an optimization perspective and point out a fundamental di...

    **n **, Tianyu He, Xu Shen, Songhua Wu in Computer Vision – ECCV 2022 Workshops (2023)

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    Chapter and Conference Paper

    Box-Supervised Instance Segmentation with Level Set Evolution

    In contrast to the fully supervised methods using pixel-wise mask labels, box-supervised instance segmentation takes advantage of the simple box annotations, which has recently attracted a lot of research atte...

    Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements

    Total hip arthroplasty (THA) is a valid and reliable treatment for degenerative hip disease, and an elaborate preoperative planning is vital for such surgery. The key step of planning is to localize several an...

    Wei Liu, Yu Wang, Tao Jiang, Ying Chi in Medical Image Computing and Computer Assis… (2020)