Hidden
Sonar — 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 |
|---|---|---|
| sound_speed_profile | -3.5 – 11.5 | m/s |
| multipath | -1.4 – 4.6 | |
| array_calibration | -2.1 – 6.9 | % |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | AcousticFormer + gradient | 0.682 | 26.83 | 0.854 | 0.86 | ✓ Certified | Acoustic imaging transformer, 2024 |
| 2 | SonarNet + gradient | 0.525 | 20.4 | 0.618 | 0.87 | ✓ Certified | Underwater imaging CNN, 2022 |
| 3 | MVDR/Capon + gradient | 0.453 | 18.84 | 0.542 | 0.74 | ✓ Certified | Capon, Proc. IEEE 1969 |
| 4 | DAS + gradient | 0.436 | 17.61 | 0.481 | 0.84 | ✓ Certified | Van Trees, Array Processing, 2002 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%