Dev
Scanning Acoustic Microscopy (SAM) — 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 |
|---|---|---|
| coupling_medium_speed | 1463.2 – 1505.2 | m/s |
| focus_depth_error | -4.8 – 7.2 | um |
| lens_aberration | -0.048 – 0.072 | waves |
| gate_position_error | -1.2 – 1.8 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | AcousticFormer + gradient | 0.708 | 28.64 | 0.894 | 0.82 | ✓ Certified | Zhu et al., Ultrasonics 138:107212, 2024 |
| 2 | PINN-SAM + gradient | 0.662 | 26.25 | 0.839 | 0.82 | ✓ Certified | Guo et al., IEEE UFFC 71:340, 2024 |
| 3 | DiffusionSAM + gradient | 0.655 | 25.91 | 0.829 | 0.82 | ✓ Certified | Score-based diffusion for SAM reconstruction, 2024 |
| 4 | SAM-Net + gradient | 0.591 | 22.95 | 0.729 | 0.85 | ✓ Certified | Guo et al., Ultrasonics 122:106679, 2022 |
| 5 | PnP-ADMM + gradient | 0.590 | 23.08 | 0.734 | 0.83 | ✓ Certified | Venkatakrishnan et al., IEEE GlobalSIP 2013 |
| 6 | Self-Sup Deconv + gradient | 0.549 | 21.38 | 0.663 | 0.85 | ✓ Certified | He et al., IEEE Trans. Instrum. Meas. 73, 2024 |
| 7 | SAFT + gradient | 0.511 | 20.14 | 0.605 | 0.84 | ✓ Certified | Schickert et al., NDT&E Int. 36:339, 2003 |
| 8 | Wiener Deconv + gradient | 0.504 | 20.09 | 0.603 | 0.81 | ✓ Certified | Zinin et al., J. Appl. Phys. 1997 |
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%