Hidden
X-ray Fluorescence (XRF) 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 |
|---|---|---|
| excitation_energy_drift | -0.007 – 0.023 | keV |
| detector_resolution | 127.2 – 139.2 | eV |
| matrix_absorption | 0.979 – 1.069 | - |
| beam_spot_size | 0.86 – 1.46 | um |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | SpectraFormer + gradient | 0.703 | 28.71 | 0.895 | 0.79 | ✓ Certified | Spectral unmixing transformer, 2024 |
| 2 | XRF-UNet + gradient | 0.550 | 21.5 | 0.668 | 0.84 | ✓ Certified | Anunziata et al., X-Ray Spectrom. 2022 |
| 3 | PnP-BM3D + gradient | 0.539 | 21.38 | 0.663 | 0.8 | ✓ Certified | Danielyan et al., 2012 |
| 4 | FP-Quantify + gradient | 0.512 | 20.63 | 0.629 | 0.77 | ✓ Certified | Sole et al., Spectrochim. Acta B 2007 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%