Codesota · Models · PRNResearch1 results · 1 benchmarks
Model card

PRN.

Researchopen-sourcePrototypical Residual Network for surface defect detection

PRN: Prototypical Residual Network for anomaly detection.

§ 01 · Benchmarks

Every benchmark PRN has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01KolektorSDD2Industrial Inspection · Anomaly Detectionap78.6%#6/62024-08-06source ↗
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 PRN actually performs.

Industrial Inspection
1
benchmark
avg rank #6.0
§ 03 · Papers

1 paper with results for PRN.

  1. 2024-08-06· 1 result

    SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection

§ 04 · Related models

Other Research models scored on Codesota.

DenseNet-121 (Chest X-ray)
8M params · 4 results · 2 SOTA
SimpleNet
2 results · 2 SOTA
DGN
1 result · 1 SOTA
DeepASD
1 result · 1 SOTA
DefectDet (ResNet)
1 result · 1 SOTA
PROXI
1 result · 1 SOTA
ASD-SWNet
2 results
ASDFormer
2 results
§ 05 · Sources & freshness

Where these numbers come from.

arxiv
1
result
1 of 1 rows marked verified.