Open Access
Table 2
Evaluation Metrics for Different Methods. Lower values for Wasserstein Distance and Jensen–Shannon Divergence indicate better performance, while a higher value for Divergence Amongst Generated Images signifies greater diversity.
Method | Wasserstein Distance | Jensen–Shannon Divergence | Image Diversity |
---|---|---|---|
Proposed Method | 0.27 | 0.35 | 0.47 |
Proposed Method + ADA | 0.41 | 0.54 | 0.84 |
Affine Transformation | 0.21 | 0.56 | 0.58 |
Erasing Transformation | 1.21 | 0.61 | 0.73 |
Pixel level Transformation | 0.11 | 0.49 | 0.69 |
The bold values indicate that the best results were achieved under those specific conditions.
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