Hidden
Eddy Current Imaging — 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 |
|---|---|---|
| liftoff_distance | -0.14 – 0.46 | mm |
| conductivity_error | 57.58 – 59.38 | MS/m |
| excitation_frequency_drift | 99.3 – 102.3 | kHz |
| probe_tilt | -0.28 – 0.92 | deg |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffEC + gradient | 0.731 | 30.28 | 0.921 | 0.8 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 2 | PhysEC + gradient | 0.711 | 28.62 | 0.893 | 0.84 | ✓ Certified | Chen et al., IEEE Trans. Magn. 2024 |
| 3 | SwinEC + gradient | 0.707 | 28.45 | 0.89 | 0.83 | ✓ Certified | Wang et al., NDT&E Int. 2023 |
| 4 | ECNN-Defect + gradient | 0.624 | 24.03 | 0.77 | 0.88 | ✓ Certified | Zhang et al., NDT&E Int. 2021 |
| 5 | TransEC + gradient | 0.623 | 24.15 | 0.774 | 0.86 | ✓ Certified | Li et al., IEEE Trans. Ind. Electron. 2022 |
| 6 | MUSIC-EC + gradient | 0.612 | 24.03 | 0.77 | 0.82 | ✓ Certified | Skarlatos et al., NDT&E Int. 2012 |
| 7 | DnCNN-EC + gradient | 0.509 | 20.33 | 0.614 | 0.8 | ✓ Certified | Gao et al., IEEE Sens. J. 2019 |
| 8 | EC-Deconv + gradient | 0.382 | 16.44 | 0.423 | 0.74 | ✓ Certified | Bowler, J. Appl. Phys. 1994 |
| 9 | TV-EC + gradient | 0.304 | 12.96 | 0.267 | 0.84 | ✓ Certified | Sabbagh et al., IEEE Trans. Magn. 2010 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%