Hidden

Ultrasonic Phased Array (TFM/FMC) — 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
element_pitch_error -0.0014 – 0.0046 mm
sound_velocity 5872.0 – 5992.0 m/s
wedge_angle_error -0.14 – 0.46 deg
dead_element_fraction -0.007 – 0.023 -

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 FMC-Former + gradient 0.665 26.6 0.848 0.8 ✓ Certified Full matrix capture transformer, 2024
2 UTPA-Net + gradient 0.598 23.54 0.752 0.81 ✓ Certified Phased array DL reconstruction, 2022
3 SAFT + gradient 0.572 22.24 0.7 0.85 ✓ Certified Doctor et al., NDT Int. 1986
4 TFM + gradient 0.547 21.62 0.673 0.81 ✓ Certified Holmes et al., NDT&E Int. 2005

Dataset

Scenes: 3

Scoring Formula

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%
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