Semi-Supervised Person Instance Segmentation
1 papers with code • 1 benchmarks • 0 datasets
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Benchmarks
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Most implemented papers
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room
Second, to address the domain shift and the lack of annotations, we propose a novel unsupervised domain adaptation method, called AdaptOR, to adapt a model from an in-the-wild labeled source domain to a statistically different unlabeled target domain.
