vision
INP-Former
Universal anomaly detection using intrinsic normal prototypes found within a single image.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released4 Mar 2025
Opennessunknown
Runs onnot in the notes
Statusnot in the notes
Identity
- Developer
- Tsinghua University, Huazhong University of Science and Technology
- Family
- not in the notes
- Released
- 4 Mar 2025 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
- dense transformer
- 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
DevelopersTsinghua Universityuniversity, China
Huazhong University of Science and Technologyuniversity, China
Tsinghua Universityuniversity, ChinaHuazhong University of Science and Technologyuniversity, ChinaModelINP-FormerTsinghua University, vision
INP-FormerTsinghua University, visionUse CasesVisual Quality Inspection and Defect DetectionIndustrialSafety (PPE, Hazards, Fatigue)IndustrialUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Aneka Tambang Tbk (ANTAM), ferronickelIn production, 9 Sep 2026
PT Bukit Asam TbkIn production, 9 Sep 2026PLN Indonesia Power with Huawei (PLTU Banten 3 Lontar)Research, 26 Nov 2025
PT Kilang Pertamina Internasional (Pertamina refineries)In production, 17 Oct 2025+5 moreDeployments of these use cases; none names this model.
PT Aneka Tambang Tbk (ANTAM), ferronickelIn production, 9 Sep 2026PT Bukit Asam TbkIn production, 9 Sep 2026PLN Indonesia Power with Huawei (PLTU Banten 3 Lontar)Research, 26 Nov 2025PT Kilang Pertamina Internasional (Pertamina refineries)In production, 17 Oct 2025+5 moreDeployments of these use cases; none names this model.Organisations 2
Sources
- arxiv.org/abs/2503.02424 https://arxiv.org/abs/2503.02424
- anomalib.readthedocs.io/en/latest/markdown/guides/reference/models/im... https://anomalib.readthedocs.io/en/latest/markdown/guides/reference/models/image/index.html
- arxiv.org/html/2503.02424 https://arxiv.org/html/2503.02424
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "INP-Former", https://aurion.semai.id/models/inp-former/, records of October 2026.