Schelling points on 3D surface meshes

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ShapeNet: An Information-Rich 3D Model Repository (2015, background): “into 90 categories, but has no annotations beyond category labels. Other commonly-used datasets contain segmentations [2], correspondences [13,12], hierarchies [19], symmetries [11], salient features [3], semantic segmentations and labels [36], alignments of 3D models with images [35], semantic onto”
Learning 3D Part Detection from Sparsely Labeled Data (2014, methodology): “To simulate a sparse labeling we select the vertex at the center of each part segment (this is driven by the observation in [3] that “segment centeredness” is key factor when humans are tasked with selecting points on a 3D surface).”