Semi-Supervised Person Bounding Box Detection
2 papers with code • 1 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Semi-Supervised Person Bounding Box Detection
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Most implemented papers
Unbiased Teacher for Semi-Supervised Object Detection
facebookresearch/unbiased-teacher
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ICLR 2021
To address this, we introduce Unbiased Teacher, a simple yet effective approach that jointly trains a student and a gradually progressing teacher in a mutually-beneficial manner.
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.
