B.5: PointNet++: Difference between revisions
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• '''Type''': ML Model | • '''Type''': ML Model | ||
• '''AI Breadth''': Deep Learning | • '''AI Breadth''': Deep Learning, Neural networks | ||
• '''Learning Ability''': Supervised learning | • '''Learning Ability''': Supervised learning | ||
Revision as of 12:37, 2 May 2023
• Short Description: Example of 3D segmentation DL architecture
• Reference, URL: https://arxiv.org/abs/1706.02413
• Relevant Domain/Industry: WEEE & Battery
• Application in relevant Projects/Initiatives:
• Type: ML Model
• AI Breadth: Deep Learning, Neural networks
• Learning Ability: Supervised learning
• Related technologies:
• License Information: MIT license (MIT)
• Related to circularity and sustainability: No
• Audience: Manufacturer
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