Hidden
TEM — 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 |
|---|---|---|
| defocus | -35.0 – 115.0 | nm |
| Cs | -0.007 – 0.023 | mm |
| beam_tilt | -0.35 – 1.15 | mrad |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinIR + gradient | 0.697 | 27.5 | 0.87 | 0.87 | ✓ Certified | Liang et al., ICCVW 2021 |
| 2 | BM3D + gradient | 0.580 | 23.37 | 0.745 | 0.74 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 3 | Wiener Filter + gradient | 0.566 | 21.87 | 0.684 | 0.87 | ✓ Certified | Analytical baseline |
| 4 | Noise2Void + gradient | 0.462 | 18.47 | 0.523 | 0.84 | ✓ 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%