Public
SPC-Block — Public Tier
(11 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| gain_decay_alpha | 0.0005 – 0.0095 | 0.005 | 1/measurement |
| noise_sigma | 0.01 – 0.05 | 0.03 |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
25.18 dB
SSIM 0.7978
Scenario II (Mismatch)
18.31 dB
SSIM 0.7399
Scenario III (Oracle)
26.32 dB
SSIM 0.8133
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 25.39 | 0.8481 | 18.82 | 0.7840 | 26.51 | 0.8619 |
| scene_01 | 27.01 | 0.8493 | 18.37 | 0.7963 | 26.52 | 0.8634 |
| scene_02 | 21.78 | 0.6939 | 17.99 | 0.6610 | 24.86 | 0.7311 |
| scene_03 | 26.51 | 0.8001 | 18.06 | 0.7181 | 27.40 | 0.7971 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | HATNet + gradient | 0.710 | 27.91 | 0.778 | 0.88 | ✓ Certified | InverseNet baseline |
| 2 | ISTA-Net + gradient | 0.694 | 26.61 | 0.742 | 0.92 | ✓ Certified | InverseNet baseline |
| 3 | FISTA-TV + gradient | 0.680 | 25.29 | 0.738 | 0.91 | ✓ Certified | InverseNet baseline |
| 4 | PnP-DRUNet + gradient | 0.627 | 22.99 | 0.643 | 0.93 | ✓ Certified | InverseNet baseline |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 11
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%