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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Results from the Paper


Ranked #6 on 3D Part Segmentation on ShapeNet-Part (Instance Average IoU metric)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
3D Part Segmentation ShapeNet-Part SSCN Instance Average IoU 86.0 # 6

Methods used in the Paper


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