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Found 3 papers, 1 papers with code
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
The state-of-the-art methods are consistency-based which learn about unlabeled images by encouraging the model to give consistent predictions for images under different augmentations.
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
Cross view feature fusion is the key to address the occlusion problem in human pose estimation.
Multi-level Domain Adaptive learning for Cross-Domain Detection
In recent years, object detection has shown impressive results using supervised deep learning, but it remains challenging in a cross-domain environment.
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