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Building Open-Set 3D Representation: Feature Fusion and Geometric-Semantic Merging
Manage episode 524325838 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/building-open-set-3d-representation-feature-fusion-and-geometric-semantic-merging.
O3D-SIM is built by projecting 2D masks and embeddings to 3D, using DBSCAN for initial refinement.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #o3d-sim-creation, #3d-point-cloud-projectio, #dbscan-clustering, #incremental-mapping, #geometric-semantic-fusion, #feature-embedding-averaging, #scene-refinement, and more.
This story was written by: @instancing. Learn more about this writer by checking @instancing's about page, and for more stories, please visit hackernoon.com.
O3D-SIM is built by projecting 2D masks and embeddings to 3D, using DBSCAN for initial refinement.
474 afleveringen
Manage episode 524325838 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/building-open-set-3d-representation-feature-fusion-and-geometric-semantic-merging.
O3D-SIM is built by projecting 2D masks and embeddings to 3D, using DBSCAN for initial refinement.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #deep-learning, #o3d-sim-creation, #3d-point-cloud-projectio, #dbscan-clustering, #incremental-mapping, #geometric-semantic-fusion, #feature-embedding-averaging, #scene-refinement, and more.
This story was written by: @instancing. Learn more about this writer by checking @instancing's about page, and for more stories, please visit hackernoon.com.
O3D-SIM is built by projecting 2D masks and embeddings to 3D, using DBSCAN for initial refinement.
474 afleveringen
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