A domain adaptation method uses event-derived motion to synthesize blur and iteratively cleans pseudo-labels, improving multi-person 2D pose estimation on blurry images without annotations.
A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions
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From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
A domain adaptation method uses event-derived motion to synthesize blur and iteratively cleans pseudo-labels, improving multi-person 2D pose estimation on blurry images without annotations.