3D Object-Oriented Learning: An End-to-end Transformation-Disentangled 3D Representation
We provide more detailed explanation of the ideas behind a recent paper on “Object-Oriented Deep Learning” [1] and extend it to handle 3D inputs/outputs. Similar to [1], every layer of the system takes in a list of “objects/symbols”, processes it and outputs another list of objects/symbols. In this...
| Main Authors: | , |
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| Format: | Technical Report |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/1721.1/113002 |