Public
SIM — Public Tier
(5 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 |
|---|---|---|---|
| pattern_phase | -0.05 – 0.1 | 0.025 | rad |
| pattern_freq | -1.0 – 2.0 | 0.5 | % |
| modulation_depth | -5.0 – 10.0 | 2.5 | % |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
23.08 dB
SSIM 0.3869
Scenario II (Mismatch)
22.00 dB
SSIM 0.2417
Scenario III (Oracle)
7.05 dB
SSIM 0.0036
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 21.66 | 0.1890 | 21.17 | 0.0819 | 8.45 | 0.0044 |
| scene_01 | 23.64 | 0.5875 | 20.70 | 0.3142 | 8.77 | 0.0044 |
| scene_02 | 24.77 | 0.5136 | 24.52 | 0.4213 | 5.36 | 0.0030 |
| scene_03 | 22.25 | 0.2575 | 21.62 | 0.1495 | 5.60 | 0.0027 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SIMformer + gradient | 0.805 | 34.37 | 0.964 | 0.88 | ✓ Certified | SIM reconstruction transformer, 2024 |
| 2 | DL-SIM + gradient | 0.785 | 33.01 | 0.953 | 0.87 | ✓ Certified | Jin et al., Nat. Methods 2023 |
| 3 | PnP-SIM + gradient | 0.731 | 29.3 | 0.906 | 0.88 | ✓ Certified | PnP with SIM forward model |
| 4 | Wiener-SIM + gradient | 0.698 | 26.85 | 0.854 | 0.94 | ✓ Certified | Gustafsson, J. Microsc. 2000 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%