SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

CVPR 2017 Li YiHao SuXingwen GuoLeonidas Guibas

In this paper, we study the problem of semantic annotation on 3D models that are represented as shape graphs. A functional view is taken to represent localized information on graphs, so that annotations such as part segment or keypoint are nothing but 0-1 indicator vertex functions... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
3D Part Segmentation ShapeNet-Part SSCNN Class Average IoU 82.0 # 6
Instance Average IoU 84.7 # 10