Hidden
Full-Waveform Inversion (FWI) — Hidden Tier
(5 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 |
|---|---|---|
| starting_velocity_model_error | -2.1 – 6.9 | - |
| source_wavelet_error | -1.4 – 4.6 | - |
| anelastic_attenuation_(q) | -70.0 – 230.0 | - |
| source_location_error | -14.0 – 46.0 | m |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | TV-Reg FWI + gradient | 0.600 | 23.8 | 0.761 | 0.79 | ✓ Certified | Esser et al., Geophysics 2018 |
| 2 | InversionNet + gradient | 0.597 | 23.48 | 0.75 | 0.81 | ✓ Certified | Wu & Lin, JGR 2019 |
| 3 | VelocityGAN + gradient | 0.592 | 23.78 | 0.761 | 0.75 | ✓ Certified | Zhang & Lin, JGR 2020 |
| 4 | L-BFGS FWI + gradient | 0.448 | 18.01 | 0.5 | 0.84 | ✓ Certified | Virieux & Operto, Geophysics 2009 |
Dataset
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%