Denoising Autoencoding on FashionMNIST
24.91PSNRViTCA-32
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ViTCA-32# Params=91.7K, heads=322022.11 | 24.91 | 0.874 | 0.098 | |
| ViTCA-32xy# Params=92.0K, heads=32, positional_encoding=xy-coordinate2022.11 | 24.55 | 0.869 | 0.102 | |
| U-Net# Params=104.5K2022.11 | 24.19 | 0.852 | 0.126 | |
| ViTCA# Params=91.7K2022.11 | 23.8 | 0.855 | 0.117 | |
| UNetCA# Params=52.0K2022.11 | 23.67 | 0.854 | 0.123 | |
| ViTCA-i16xy# Params=54.4K, bottleneck=inverted, heads=16, positional_encoding=xy-coordinate2022.11 | 23.59 | 0.848 | 0.121 | |
| ViTCA-ixy# Params=54.4K, bottleneck=inverted, positional_encoding=xy-coordinate2022.11 | 23.54 | 0.848 | 0.123 | |
| ViTCA-i16# Params=54.3K, bottleneck=inverted, heads=162022.11 | 23.32 | 0.839 | 0.127 | |
| ViTCA-i# Params=54.3K, bottleneck=inverted2022.11 | 22.84 | 0.827 | 0.139 | |
| ViT# Params=83.4K2022.11 | 16.28 | 0.519 | 0.397 |