Event-based facial keypoint alignment on E-SIE Real (test)
6.431NMESSMER + CMFA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SSMER + CMFAInput=RGB + Event, Training=Fine-tuned on E-WFLW-V (Expanded dataset)2025.09 | 6.431 | 16.694 | 0.442 | |
| SLPTInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 8.365 | 29.667 | 0.334 | |
| ADNetInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 11.397 | 41.417 | 0.261 | |
| AWingInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 12.109 | 43.556 | 0.247 | |
| STARInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 14.795 | 48.361 | 0.227 | |
| PIPNetInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 14.932 | 58.639 | 0.158 | |
| WingInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 17.893 | 53.611 | 0.206 | |
| SDFLInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 23.191 | 72.528 | 0.114 | |
| HRNetInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 27.966 | 61.333 | 0.157 |