Multi Frame Super Resolution On Proba V
Metrics
Normalized cPSNR
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Normalized cPSNR |
|---|---|
| wide-activation-for-efficient-and-accurate | 0.9411827883122681 |
| tr-misr-multiimage-super-resolution-based-on | 0.9300466898779116 |
| wide-activation-for-efficient-and-accurate | 0.9462525077016232 |
| multi-image-super-resolution-of-remotely | 0.9336790819983855 |
| deepsum-deep-neural-network-for-super | 0.948844910272775 |
| highres-net-multi-frame-super-resolution-by | 0.947388637793901 |
| highres-net-recursive-fusion-for-multi-frame | 0.947388637793901 |
| permutation-invariance-and-uncertainty-in | 0.9313717296835213 |