Submanifold Sparse Convolutional Networks

5 Jun 2017Benjamin GrahamLaurens van der Maaten

Convolutional network are the de-facto standard for analysing spatio-temporal data such as images, videos, 3D shapes, etc. Whilst some of this data is naturally dense (for instance, photos), many other data sources are inherently sparse... (read more)

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Evaluation results from the paper

 SOTA for 3D Part Segmentation on ShapeNet-Part (Instance Average IoU metric )

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Task Dataset Model Metric name Metric value Global rank Compare
3D Part Segmentation ShapeNet-Part SSCN Instance Average IoU 86.0 # 1