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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...
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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...
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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...