ISSTAD

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

Anomaly DetectiononMVTec AD
Detection AUROC· uses extra data· 2023-03-30
97.6
best: 99.9 (GLASS)
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization arXiv:2303.17354
Anomaly DetectiononMVTec AD
Segmentation AUROC· uses extra data· 2023-03-30
96.1
best: 99.7 (WeakREST-Block)
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization arXiv:2303.17354