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rop Channel Graph Neural Network for Object Classification and Part Segmentation in the Point Cloud

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DC-GNN: Drop Channel Graph Neural Network for Classification and Part Segmentation in Point Cloud.

Created by -----> Md Meraz, Md Afzal Ansari, Mohammed Javed, and Pavan Chakraborty

plot

Release

Souce code is Publicly available in November First weak.

How to use Code

Requirements

  • Python 3.7
  • Pytorch 1.7
  • Cuda 9.2
  • scikit learn, HD5

Point Cloud Classification


Training

Evaluation

Performance:

ModelNet-40 dataset

Overall Acc
Paper (1024 points) 93.64

Point Cloud Part-Segmentation


Training

Evaluation

Performance:

ShapeNet part dataset

Mean IoU Airplane Bag Cap Car Chair Earphone Guitar Knife Lamp Laptop Motor Mug Pistol Rocket Skateboard Table
#Shapes 2690 76 55 898 3758 69 787 392 1547 451 202 184 283 66 152 5271
Papers 84.55 85.3 82.29 86.09 81.0 91.39 78.97 92.2 88.07 85.02 95.82 72.83 95.2 84.53 54.28 76.99 82.97

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rop Channel Graph Neural Network for Object Classification and Part Segmentation in the Point Cloud

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