geospatial
RoI Transformer
Detector that learns rotated regions of interest for oriented objects in aerial images.
Levelvariant
Classgeospatial
Parametersnot in the notes
Contextnot in the notes
Released1 Dec 2018
Opennessunknown
Runs onnot in the notes
Statusnot in the notes
Identity
- Developer
- Wuhan University
- Family
- Oriented object detectors for aerial images (MMRotate)
- Released
- 1 Dec 2018 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
- –
- Context length
- not in the notes
- Input
- image
- Output
- labels and boxes
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
- not in the notes
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
DeveloperWuhan Universityuniversity, China
Wuhan Universityuniversity, ChinaModelRoI TransformerWuhan University, geospatial
RoI TransformerWuhan University, geospatialUse CasesSatellite Monitoring (Land Cover, Floods, Forests)Public SectorUse 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 1
Sources
- arxiv.org/abs/1812.00155 https://arxiv.org/abs/1812.00155
- arxiv.org/html/1812.00155 https://arxiv.org/html/1812.00155
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "RoI Transformer", https://aurion.semai.id/models/roi-transformer/, records of October 2026.