Bubblex: an explainable deep learning framework for point cloud classification

HIGHLIGHTS

• who: Cloud et al. from the (UNIVERSITY) have published the Article: BubblEX: an Explainable Deep Learning Framework for Point Cloud Classification, in the Journal: (JOURNAL)
• what: The authors proposed an explainability framework for point cloud classification.
• how: For the experiments it has been used Dynamic Graph CNN (DGCNN) trained on Modelnet40 dataset. For the experiments the authors considered Dynamic Graph CNN (DGCNN) that builds dynamic connections among points in their feature level and updates point features based on their neighboring points in the feature space . Another approach for explaining the decision of a . . .
  

   

  

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