Model card
SuperSimpleNet.
ViCoS Lab Ljubljanaopen-sourceUnified unsupervised + supervised anomaly detection with feature adaptation
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection. ICPR 2024.
§ 01 · Benchmarks
Every benchmark SuperSimpleNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | KolektorSDD2 | Industrial Inspection · Anomaly Detection | ap | 97.4% | #1 | 2024-08-06 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where SuperSimpleNet actually performs.
§ 03 · Papers
1 paper with results for SuperSimpleNet.
§ 04 · Related models
Other ViCoS Lab Ljubljana models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
1
result
1 of 1 rows marked verified.