vision
UPerNet
Unified perceptual parsing network; the standard segmentation head for evaluating backbones on ADE20K.
Levelmodel
Classvision
Parameters60.26M
Contextnot in the notes
Released26 Jul 2018
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Identity
- Developer
- Peking University, Massachusetts Institute of Technology
- Family
- not in the notes
- Released
- 26 Jul 2018 sourcesannouncement page
- Weights published
- 13 Jan 2023
- 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
- 60.26M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image
- Output
- image
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
- open weights permissive
- Licence
- MIT License sources
- Access routes
- open weights download, cloud marketplace
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
ModelUPerNetPeking University, vision
UPerNetPeking University, visionUse CasesMedical Image SegmentationHealthcareRobotic Waste and Recycling SortingIndustrialUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Organisations 2
Sources
- arxiv.org/abs/1807.10221 https://arxiv.org/abs/1807.10221
- huggingface.co/openmmlab/upernet-convnext-tiny https://huggingface.co/openmmlab/upernet-convnext-tiny
- ai.azure.com/catalog/models?task=image-segmentation https://ai.azure.com/catalog/models?task=image-segmentation
- github.com/open-mmlab/mmsegmentation/tree/main/configs/u... https://github.com/open-mmlab/mmsegmentation/tree/main/configs/upernet
- arxiv.org/html/1807.10221 https://arxiv.org/html/1807.10221
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "UPerNet", https://aurion.semai.id/models/upernet/, records of October 2026.