A public benchmark dataset and competition results for 3D dental landmark detection from intraoral scans, with the top team reaching 0.91 rank score using a stratified transformer and DBSCAN.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
SafeAlign-VLA uses counterfactual safety pairing and anchor-based group relative policy optimization to incorporate negative data for safer VLA-based autonomous driving.
citing papers explorer
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Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge
A public benchmark dataset and competition results for 3D dental landmark detection from intraoral scans, with the top team reaching 0.91 rank score using a stratified transformer and DBSCAN.
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SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving
SafeAlign-VLA uses counterfactual safety pairing and anchor-based group relative policy optimization to incorporate negative data for safer VLA-based autonomous driving.