Hidden

Event Camera / Dynamic Vision Sensor (DVS) — 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
contrast_threshold 0.272 – 0.392 logintensity
refractory_period -0.26 – 5.14 us
noise_event_rate -0.14 – 0.46 ofrealevents
hot_pixel_fraction -0.07 – 0.23 -

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffEvent + gradient 0.755 32.11 0.944 0.78 ✓ Certified Gao et al., NeurIPS 2024
2 PhysEvent + gradient 0.706 28.43 0.89 0.83 ✓ Certified Chen et al., ECCV 2024
3 SwinEvent + gradient 0.666 26.13 0.836 0.85 ✓ Certified Zhang et al., CVPR 2023
4 TransEvent + gradient 0.664 26.35 0.842 0.82 ✓ Certified Weng et al., ECCV 2022
5 Complementary + gradient 0.537 21.02 0.647 0.84 ✓ Certified Scheerlinck et al., RA-L 2018
6 SPADE-E2VID + gradient 0.497 19.36 0.568 0.88 ✓ Certified Cadena et al., IEEE TIP 2021
7 FireNet + gradient 0.480 19.28 0.564 0.81 ✓ Certified Scheerlinck et al., WACV 2020
8 Event-Integration + gradient 0.471 19.1 0.555 0.79 ✓ Certified Mead & Mahowald, Analog VLSI 1989
9 E2VID + gradient 0.422 17.66 0.483 0.76 ✓ Certified Rebecq et al., IEEE TPAMI 2020

Dataset

Scenes: 5

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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