Project AURIONAI Use-Cases Research & Innovation
University of Ljubljana
visionfamily

SuperSimpleNet

Fast surface defect detector that unifies unsupervised and supervised learning. Paper by Rolih et al. (2024).

Figure from the SuperSimpleNet paper: diagram of the SuperSimpleNet architecture.
Levelfamily
Classvision
Parametersnot in the notes
Contextnot in the notes
Released6 Aug 2024
Opennessopen source
Runs onnot in the notes
Statusactive

Industry Use Cases

R&D Topics

Identity

Developer
University of Ljubljana
Family
not in the notes
Released
6 Aug 2024 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
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
Apache License 2.0 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
Licence is that of the Anomalib implementation (Apache-2.0).
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.

Sources

  1. arxiv.org/abs/2408.03143 https://arxiv.org/abs/2408.03143
  2. github.com/open-edge-platform/anomalib https://github.com/open-edge-platform/anomalib
  3. anomalib.readthedocs.io/en/latest/markdown/guides/reference/models/im... https://anomalib.readthedocs.io/en/latest/markdown/guides/reference/models/image/index.html
  4. arxiv.org/html/2408.03143 https://arxiv.org/html/2408.03143

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "SuperSimpleNet", https://aurion.semai.id/models/supersimplenet/, records of October 2026.