Retinal Image Alignment on FLORI21
100Acceptable RateRetinaRegNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RetinaRegNet2026.04 | 100 | 86.8 | |
| MINIMA2026.04 | 100 | 91.4 | |
| PDM2026.04 | 100 | 92.3 | |
| RetinaRegNet2025.05 | 100 | 86.8 | |
| ARTCAL (Contrast-Adaptive Learning)=false2025.05 | 100 | 92.3 | |
| ARTCAL (Contrast-Adaptive Learning)=true2025.05 | 100 | 92.5 | |
| GeoFormer2026.04 | 93.33 | 71.4 | |
| XoFTR2026.04 | 93.33 | 75.3 | |
| ROMA2026.04 | 93.33 | 73.4 | |
| GeoFormer2025.05 | 93.33 | 71.4 | |
| SuperGlue2026.04 | 80 | 59.8 | |
| SuperRetina2026.04 | 80 | 65 | |
| SuperGlue2025.05 | 80 | 59.8 | |
| SuperRetina2025.05 | 80 | 65 | |
| REMPE2026.04 | 73.33 | 60 | |
| ASPanFormer2026.04 | 73.33 | 62.8 | |
| REMPE2025.05 | 73.33 | 60 | |
| ASPanFormer2025.05 | 73.33 | 62.8 | |
| LoFTR2026.04 | 66.67 | 51.5 | |
| LoFTR2025.05 | 66.67 | 51.5 | |
| COTR2026.04 | 60 | 49.8 | |
| IHN2026.04 | 60 | 50 | |
| MCNet2026.04 | 60 | 48.6 | |
| IHN2025.05 | 60 | 50 | |
| MCNet2025.05 | 60 | 48.6 | |
| ISTN2026.04 | 53.33 | 52.5 | |
| NCNet2026.04 | 53.33 | 50.8 | |
| ISTN2025.05 | 53.33 | 52.5 | |
| NCNet2025.05 | 53.33 | 50.8 | |
| SuperPoint2026.04 | 40 | 39.1 | |
| DLKFM2026.04 | 40 | 40.1 | |
| SuperPoint2025.05 | 40 | 39.1 | |
| DLKFM2025.05 | 40 | 40.1 | |
| GLAMpoints2026.04 | 33.33 | 34.4 | |
| GLAMpoints2025.05 | 33.33 | 34.4 |