B.5: PointNet++

• Short Description: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. An example of 3D segmentation Deep Learning architecture

• Reference, URL: https://arxiv.org/abs/1706.02413

• Applicable Business Category: Manufacturing (WEEE & Battery)

• Application in relevant Projects/Initiatives: No

• Asset Type: ML Model

• AI Breadth: Deep Learning, Neural networks

• Learning Ability: Supervised learning

• Related technologies: Deep Hierarchical Feature Learning

• Applicable Research Area: Physical AI

• Applicable Technical Category: Computer Vision

• License Information: MIT license (MIT)

• Related to circularity and sustainability: No

• Audience: Manufacturers

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