Model card
CFLOW-AD.
Researchopen-sourceConditional Normalizing FlowApache 2.0
Real-time unsupervised anomaly detection via conditional normalizing flows.
§ 01 · Benchmarks
Every benchmark CFLOW-AD has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | MVTec AD | Industrial Inspection · Anomaly Detection | auroc | 98.3% | #6 | — | 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 CFLOW-AD actually performs.
§ 04 · Related models
Other Research models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
research-paper
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result
0 of 1 rows marked verified.