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
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 3roles
dataset 1polarities
use dataset 1representative citing papers
A topology-constrained 8-bit quantized nnUNet with connected-component, adjacency, and hole penalties reduces topological errors in tooth segmentation compared to standard quantization.
Equivariant mesh networks with anatomical priors and augmented message passing deliver stable segmentation across edge, vertex, and face supervision while resisting geometric perturbations.
citing papers explorer
-
Augmented Equivariant Mesh Networks for Anatomical Segmentation
Equivariant mesh networks with anatomical priors and augmented message passing deliver stable segmentation across edge, vertex, and face supervision while resisting geometric perturbations.