Anomaly Localization on MVTec-AD (Per-Class Metrics)
0.39Bottle ScoreCAVGA-Rw
Evaluation Results
| Method | Links | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CAVGA-RwSupervision setting=weakly supervised, Network architecture=CAVGA-R (ResNet/Pretrained)2019.11 | 0.39 | 0.79 | 0.41 | 0.46 | 0.84 | 0.53 | 0.66 | 0.81 | 0.81 | 0.55 | 0.51 | 0.45 | 0.63 | 0.66 | 0.31 | 0.59 | 0.93 | |
| CAVGA-DwSupervision setting=weakly supervised, Network architecture=CAVGA-D (DC-GAN)2019.11 | 0.36 | 0.58 | 0.38 | 0.46 | 0.8 | 0.44 | 0.61 | 0.7 | 0.47 | 0.42 | 0.49 | 0.38 | 0.6 | 0.51 | 0.29 | 0.5 | 0.92 | |
| CAVGA-RuSupervision setting=unsupervised, Network architecture=CAVGA-R (ResNet/Pretrained)2019.11 | 0.34 | 0.51 | 0.31 | 0.45 | 0.79 | 0.4 | 0.59 | 0.73 | 0.38 | 0.38 | 0.44 | 0.35 | 0.57 | 0.48 | 0.26 | 0.47 | 0.89 | |
| CAVGA-DuSupervision setting=unsupervised, Network architecture=CAVGA-D (DC-GAN)2019.11 | 0.3 | 0.44 | 0.25 | 0.39 | 0.76 | 0.34 | 0.56 | 0.71 | 0.31 | 0.32 | 0.37 | 0.3 | 0.54 | 0.42 | 0.2 | 0.41 | 0.85 | |
| AVID2019.11 | 0.28 | 0.54 | 0.21 | 0.05 | 0.32 | 0.11 | 0.14 | 0.25 | 0.09 | 0.51 | 0.27 | 0.18 | 0.43 | 0.22 | 0.25 | 0.26 | 0.78 | |
| gamma-VAE_g2019.11 | 0.27 | 0.63 | 0.24 | 0.22 | 0.41 | 0.48 | 0.45 | 0.79 | 0.38 | 0.36 | 0.26 | 0.44 | 0.37 | 0.38 | 0.17 | 0.39 | 0.86 | |
| LSA2019.11 | 0.27 | 0.41 | 0.22 | 0.38 | 0.77 | 0.18 | 0.41 | 0.76 | 0.32 | 0.2 | 0.36 | 0.21 | 0.48 | 0.38 | 0.14 | 0.37 | 0.79 | |
| ADVAE2019.11 | 0.27 | 0.44 | 0.11 | 0.49 | 0.24 | 0.18 | 0.14 | 0.1 | 0.23 | 0.02 | 0.18 | 0.3 | 0.14 | 0.17 | 0.06 | 0.2 | 0.86 | |
| AE_L22019.11 | 0.22 | 0.41 | 0.11 | 0.26 | 0.67 | 0.25 | 0.29 | 0.38 | 0.23 | 0.83 | 0.05 | 0.22 | 0.51 | 0.34 | 0.13 | 0.33 | 0.82 | |
| AE_SSIM2019.11 | 0.15 | 0 | 0.09 | 0.01 | 0.34 | 0.07 | 0.36 | 0.69 | 0.04 | 0.88 | 0.01 | 0.01 | 0.08 | 0.03 | 0.1 | 0.19 | 0.87 | |
| AnoGAN2019.11 | 0.05 | 0.02 | 0.04 | 0 | 0.34 | 0.17 | 0.14 | 0.34 | 0.08 | 0.04 | 0.01 | 0.08 | 0.07 | 0.01 | 0.01 | 0.09 | 0.74 |