B.5: PointNet++: Difference between revisions

Latest revision as of 10:03, 27 December 2024

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

• 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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 •	'''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
-•	'''Reference, URL''':
+•	'''Applicable Business Category''': Manufacturing (WEEE & Battery)
-•	'''Relevant Domain/Industry''': WEEE & Battery
+•	'''Application in relevant Projects/Initiatives''':  No
-•	'''Application in relevant Projects/Initiatives''':
+•	'''Asset Type''': ML Model
-•	'''Type''':
+•	'''AI Breadth''': Deep Learning, Neural networks
-•	'''AI Breadth''':
+•	'''Learning Ability''': Supervised learning
-•	'''Learning Ability''':
+•	'''Related technologies''': Deep Hierarchical Feature Learning
-•	'''Related technologies''':
+•	'''Applicable Research Area''': Physical AI
-•	'''License Information''': Proprietary license
+•	'''Applicable Technical Category''': Computer Vision
-•	'''Related to circularity and sustainability''':
+•	'''License Information''': MIT license (MIT)
-•	'''Audience''': Manufacturer
+•	'''Related to circularity and sustainability''': No
+•	'''Audience''': Manufacturers