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Active learning for mesh segmentation: Comparing uncertainty quantification methods for learning on unstructured data

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02750-Final-Project

Active learning for mesh segmentation: Comparing uncertainty quantification methods for learning on unstructured graphs

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Contributors

  • Sofia Lima
  • Jen Wong
  • Parker Simpson
  • Eshwar Venkat

Background

Deep Learning on 3D Meshes: https://medium.com/stanford-cs224w/deep-learning-on-3d-meshes-9608a5b33c98

(Video) Active Learning for 3D Mesh Semantic Segmentation: https://www.youtube.com/watch?v=vDmpP_JRSBY&t=596s

A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks: https://www.sciencedirect.com/science/article/pii/S0925231222014424

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Active learning for mesh segmentation: Comparing uncertainty quantification methods for learning on unstructured data

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