Sparse Recovery on CelebA (test)
0.0247MSEULHM
Evaluation Results
| Method | Links | |
|---|---|---|
| ULHMSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0247 | |
| ULHMSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0262 | |
| CBAM U-NetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0273 | |
| ULHMSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.028 | |
| Res-AttentionSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0292 | |
| CBAM U-NetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0293 | |
| ResUNet-PSPSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0297 | |
| ResUNetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0297 | |
| Res-AttentionSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0301 | |
| ULHMSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0305 | |
| ResUNet-PSPSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0306 | |
| Res-AttentionSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0307 | |
| CBAM U-NetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0307 | |
| DANetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0309 | |
| Dense U-NetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0312 | |
| Res-AttentionSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0313 | |
| ResUNet-PSPSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0313 | |
| ResUNetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0317 | |
| ResUNet-PSPSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0319 | |
| Dense U-NetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0321 | |
| CBAM U-NetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0322 | |
| Res-AttentionSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0325 | |
| Dense U-NetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0328 | |
| ResUNetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.033 | |
| DANetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0332 | |
| Dense U-NetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0334 | |
| ResUNet-PSPSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0336 | |
| Dense U-NetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0342 | |
| ResUNetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0342 | |
| DANetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0348 | |
| CBAM U-NetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0348 | |
| ULHMSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0353 | |
| ResUNetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.036 | |
| DANetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0364 | |
| DANetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0387 | |
| Attention U-NetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0388 | |
| Attention U-NetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0396 | |
| Attention U-NetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0401 | |
| Attention U-NetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0404 | |
| Attention U-NetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.01 | 0.0406 |