vision
SINet (portrait segmentation)
NAVER Clova extremely lightweight portrait segmentation network.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released16 Dec 2019
Opennessopen source
Runs onmobile or NPU
Statusactive
R&D Topics
Identity
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
- –
- 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 source
- Licence
- MIT License sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- mobile or NPU
- Footprint
- Edge or toolkit builds listed in: Qualcomm AI Hub.
- 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
DeveloperNaverbig tech, South Korea
Naverbig tech, South KoreaModelSINet (portrait segmentation)Naver, vision
SINet (portrait segmentation)Naver, visionUse Casesnone recorded
Who Runs Itnone recorded
Organisations 1
R&D topics 2
Sources
- github.com/clovaai/ext_portrait_segmentation https://github.com/clovaai/ext_portrait_segmentation
- aihub.qualcomm.com/models/sinet https://aihub.qualcomm.com/models/sinet
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "SINet (Portrait Segmentation)", https://aurion.semai.id/models/sinet-portrait/, records of October 2026.