Hidden
STEM — Hidden Tier
(3 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| probe_size | -0.07 – 0.23 | Å |
| convergence_angle | -0.35 – 1.15 | mrad |
| scan_distortion | -0.35 – 1.15 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | BM3D + gradient | 0.614 | 24.26 | 0.778 | 0.8 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 2 | SwinIR + gradient | 0.589 | 23.03 | 0.732 | 0.83 | ✓ Certified | Liang et al., ICCVW 2021 |
| 3 | Wiener Filter + gradient | 0.489 | 19.93 | 0.595 | 0.76 | ✓ Certified | Analytical baseline |
| 4 | Noise2Void + gradient | 0.486 | 19.35 | 0.567 | 0.83 | ✓ Certified | Krull et al., CVPR 2019 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%