vision
MinkUNet
Sparse 4D convolutional U-Net built on the Minkowski Engine for LiDAR segmentation.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released18 Apr 2019
Opennessunknown
Runs onnot in the notes
Statusactive
R&D Topics
Identity
- Developer
- Stanford University
- Family
- not in the notes
- Released
- 18 Apr 2019 sourcesannouncement page
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- CNN
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Checkpoints in OpenMMLab MMDetection3D; repository licence Apache-2.0, weight terms not separately stated.
- Context length
- not in the notes
- Input
- 3D
- Output
- 3D
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- not in the notes sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperStanford Universityuniversity, USA
Stanford Universityuniversity, USAModelMinkUNetStanford University, vision
MinkUNetStanford University, visionR&D TopicsLiDAR and Multi-Sensor 3D PerceptionReal-Time Road, Lane and LiDAR Segmentation on Embedded Hardware
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
R&D topics 2
LiDAR and Multi-Sensor 3D PerceptionDetecting and segmenting objects in 3D from LiDAR point clouds, cameras or both, mainly f…produced byReal-Time Road, Lane and LiDAR Segmentation on Embedded HardwareLight perception networks that find vehicles, drivable area, lanes and LiDAR classes fast…produced by
Sources
- arxiv.org/abs/1904.08755 https://arxiv.org/abs/1904.08755
- github.com/open-mmlab/mmdetection3d/tree/main/configs/mi... https://github.com/open-mmlab/mmdetection3d/tree/main/configs/minkunet
- arxiv.org/html/1904.08755 https://arxiv.org/html/1904.08755
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MinkUNet", https://aurion.semai.id/models/minkunet/, records of October 2026.