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Found 2 papers, 1 papers with code
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
In this paper, we introduce VoteCut, an innovative method for unsupervised object discovery that leverages feature representations from multiple self-supervised models.
Kinematic Data-Based Action Segmentation for Surgical Applications
Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors.
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