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Models/Glow

Glow

Reported on 9 benchmarks across 3 tasks · 1 paper · 8 SOTA

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

Methodology5 results

Anomaly DetectiononSMAP
AUC· 2018-07-09
91.55
best: 99.21 (TranAd)
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Anomaly DetectiononSMAP
F1· 2018-07-09
86.05
best: 94.1 (DFM (flow matching))
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Anomaly DetectiononSMAP
Precision· 2018-07-09
87.4
best: 89.7 (DFM (flow matching))
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Anomaly DetectiononSMAP
Recall· 2018-07-09
84.93
best: 99.99 (TranAd)
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Density EstimationonImageNet 32x32
NLL (bits/dim)· 2018-07-09
4.09
best: 3.67 (MuLAN)
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039

Graphs4 results

Unsupervised Anomaly DetectiononSMAP
AUC· 2018-07-09
91.55
best: 99.21 (TranAd)
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Unsupervised Anomaly DetectiononSMAP
F1· 2018-07-09
86.05
best: 94.1 (DFM (flow matching))
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Unsupervised Anomaly DetectiononSMAP
Precision· 2018-07-09
87.4
best: 89.7 (DFM (flow matching))
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039
Unsupervised Anomaly DetectiononSMAP
Recall· 2018-07-09
84.93
best: 99.99 (TranAd)
SOTA
Glow: Generative Flow with Invertible 1x1 Convolutions arXiv:1807.03039