Unsupervised Anomaly Detection on PPMI (one fold)
67GmeanOMMST
Evaluation Results
| Method | Links | |
|---|---|---|
| OMMSTArchitecture=Online Mixtures, Backend=CPU, Training Time=1min20, Training Consumption=153 kJ, Training DRAM peak=958 MB, Inference Time=18min, Inference Consumption=32 kJ, Inference DRAM peak=96 MB, Parameters=1282023.09 | 67 | |
| OGMMArchitecture=Online Mixtures, Backend=CPU, Training Time=50s, Training Consumption=85 kJ, Training DRAM peak=494 MB, Inference Time=17min, Inference Consumption=23 kJ, Inference DRAM peak=92 MB, Parameters=1402023.09 | 65 | |
| Reconstruction Error (RE)Architecture=ResNet-18, Backend=GPU, Training Time=17h40, Training Consumption=53213 kJ, Training DRAM peak=26 GB, Inference Time=59h, Inference Consumption=108593 kJ, Inference DRAM peak=28 GB, Parameters=237302182023.09 | 64 | |
| Reconstruction Error (RE)Architecture=Lightweight AE, Backend=GPU, Training Time=1h26, Training Consumption=5040 kJ, Training DRAM peak=26 GB, Inference Time=3h30, Inference Consumption=8350 kJ, Inference DRAM peak=22 GB, Parameters=52662023.09 | 61 | |
| FastFlow (FF)Architecture=ResNet-18, Backend=GPU, Training Time=4h10, Training Consumption=7234 kJ, Training DRAM peak=28 GB, Inference Time=19h45, Inference Consumption=18481 kJ, Inference DRAM peak=28 GB, Parameters=15202023.09 | 61 | |
| FastFlow (FF)Architecture=Lightweight AE, Backend=GPU, Training Time=4h, Training Consumption=6854 kJ, Training DRAM peak=27 GB, Inference Time=3h53, Inference Consumption=13158 kJ, Inference DRAM peak=27 GB, Parameters=15202023.09 | 55 |