Table 7 Summary of average Wasserstein distances at different epochs.
From: Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning
| Â | Epochs | |||
|---|---|---|---|---|
100 | 500 | 1000 | Best | |
Average Wasserstein distance | ||||
Steel A | 14.15 \(\pm\) 4.27 | 6.25 \(\pm\) 2.86 | 3.57 \(\pm\) 1.54 | 1.48 \(\pm\) 0.47 |
Steel B | 16.82 \(\pm\) 6.31 | 3.21 \(\pm\) 1.26 | 2.38 \(\pm\) 1.19 | 1.16 \(\pm\) 0.41 |
Steel C | 7.79 \(\pm\) 1.87 | 1.52 \(\pm\) 0.47 | 0.89 \(\pm\) 0.29 | 0.76 \(\pm\) 0.19 |
Steel D | 8.88 \(\pm\) 2.20 | 2.20 \(\pm\) 0.97 | 1.62 \(\pm\) 0.82 | 0.77 \(\pm\) 0.22 |
Steel E | 11.28 \(\pm\) 3.65 | 6.74 \(\pm\) 3.00 | 3.81 \(\pm\) 1.85 | 1.91 \(\pm\) 1.01 |
Steel F | 20.14 \(\pm\) 8.08 | 6.65 \(\pm\) 2.81 | 2.84 \(\pm\) 1.37 | 1.27 \(\pm\) 0.53 |
