Public
Event Camera / Dynamic Vision Sensor (DVS) — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| contrast_threshold | 0.26 – 0.38 | 0.32 | logintensity |
| refractory_period | -0.8 – 4.6 | 1.9 | us |
| noise_event_rate | -0.2 – 0.4 | 0.1 | ofrealevents |
| hot_pixel_fraction | -0.1 – 0.2 | 0.05 | - |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
7.84 dB
SSIM 0.3015
Scenario II (Mismatch)
7.84 dB
SSIM 0.1991
Scenario III (Oracle)
10.94 dB
SSIM 0.3682
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 7.64 | 0.2894 | 7.66 | 0.2019 | 10.79 | 0.3739 |
| scene_01 | 7.65 | 0.3040 | 7.65 | 0.1960 | 10.77 | 0.3632 |
| scene_02 | 8.07 | 0.3073 | 8.08 | 0.2002 | 11.17 | 0.3690 |
| scene_03 | 8.02 | 0.3052 | 7.95 | 0.1985 | 11.04 | 0.3666 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | DiffEvent + gradient | 0.838 | 36.4 | 0.975 | 0.92 | ✓ Certified | Gao et al., NeurIPS 2024 |
| 2 | PhysEvent + gradient | 0.823 | 35.93 | 0.973 | 0.87 | ✓ Certified | Chen et al., ECCV 2024 |
| 3 | SwinEvent + gradient | 0.808 | 34.11 | 0.962 | 0.91 | ✓ Certified | Zhang et al., CVPR 2023 |
| 4 | TransEvent + gradient | 0.785 | 32.73 | 0.95 | 0.89 | ✓ Certified | Weng et al., ECCV 2022 |
| 5 | SPADE-E2VID + gradient | 0.749 | 30.14 | 0.919 | 0.9 | ✓ Certified | Cadena et al., IEEE TIP 2021 |
| 6 | FireNet + gradient | 0.709 | 27.94 | 0.88 | 0.89 | ✓ Certified | Scheerlinck et al., WACV 2020 |
| 7 | E2VID + gradient | 0.664 | 25.78 | 0.826 | 0.88 | ✓ Certified | Rebecq et al., IEEE TPAMI 2020 |
| 8 | Complementary + gradient | 0.614 | 23.06 | 0.733 | 0.95 | ✓ Certified | Scheerlinck et al., RA-L 2018 |
| 9 | Event-Integration + gradient | 0.502 | 19.4 | 0.57 | 0.9 | ✓ Certified | Mead & Mahowald, Analog VLSI 1989 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%