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EnyaHermite / SPH3D-GCN

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
MIT License
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On s3dis, those results are already behind SOTA #1

Open tchaton opened 4 years ago

tchaton commented 4 years ago

https://arxiv.org/pdf/1904.02113.pdf Screenshot from 2019-09-22 19-49-44

EnyaHermite commented 4 years ago

Hi, segments similar to super-pixels cast constraint of local labelling consistency. That's why SOTA or CRF-like networks sometimes outperform ours. However, you might notice that the 6-folds results of SOTA is actually on-par to ours. Compared to the computation cost of SOTA, the efficiency, scalability and generalisation of our network make it potentially more promising.