Dev
STEM — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| probe_size | -0.12 – 0.18 | Å |
| convergence_angle | -0.6 – 0.9 | mrad |
| scan_distortion | -0.6 – 0.9 | % |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SwinIR + gradient | 0.700 | 27.95 | 0.88 | 0.84 | ✓ Certified | Liang et al., ICCVW 2021 |
| 2 | BM3D + gradient | 0.661 | 25.89 | 0.829 | 0.85 | ✓ Certified | Dabov et al., IEEE TIP 2007 |
| 3 | Noise2Void + gradient | 0.562 | 22.29 | 0.702 | 0.79 | ✓ Certified | Krull et al., CVPR 2019 |
| 4 | Wiener Filter + gradient | 0.534 | 20.7 | 0.632 | 0.87 | ✓ Certified | Analytical baseline |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%