Hidden

OCTA — 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
inter_bscan_time -0.35 – 1.15 ms
bulk_motion -0.14 – 0.46 mm/s
decorrelation_threshold 0.465 – 0.615

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 OCT-ViT + gradient 0.739 30.66 0.926 0.81 ✓ Certified Tian et al., ICCV 2024
2 DiffusionOCT + gradient 0.725 30.14 0.919 0.78 ✓ Certified Zhang et al., NeurIPS 2024
3 ScoreOCT + gradient 0.715 28.35 0.888 0.88 ✓ Certified Wei et al., ECCV 2025
4 SpeckleFormer + gradient 0.652 25.68 0.823 0.83 ✓ Certified Devalla et al., ECCV 2024
5 OCTA-Net + gradient 0.646 25.97 0.831 0.77 ✓ Certified Hybrid U-Net+Transformer, 2023
6 RetinalFormer + gradient 0.629 24.48 0.785 0.85 ✓ Certified Chen et al., ICCV 2024
7 NLM-OCT + gradient 0.608 24.35 0.781 0.76 ✓ Certified Buades et al., Multiscale Model. Simul. 2005
8 TV-Denoising + gradient 0.608 24.52 0.787 0.74 ✓ Certified Rudin et al., Phys. A 1992
9 BM4D + gradient 0.578 22.81 0.724 0.8 ✓ Certified Maggioni et al., IEEE TIP 2013
10 Speckle-Lee + gradient 0.575 22.2 0.698 0.87 ✓ Certified Lee, IEEE TGRS 1980
11 U-Net-OCT + gradient 0.559 22.12 0.695 0.8 ✓ Certified Ronneberger et al., MICCAI 2015 (OCT variant)
12 FFT-OCT + gradient 0.527 21.1 0.65 0.78 ✓ Certified Analytical baseline
13 Speckle-DenoiseNet + gradient 0.500 20.43 0.619 0.74 ✓ Certified Devalla et al., BOE 2019

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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