Event-based facial keypoint alignment on E-WFLW-V Synthetic (test)
2.156NME (%)SSMER + CMFA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| SSMER + CMFAInput=RGB + Event, Training=Fine-tuned on E-WFLW-V (Expanded dataset)2025.09 | 2.156 | 1.501 | 79.1 | |
| SLPTInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 2.397 | 2.217 | 77.5 | |
| PIPNetInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 2.682 | 2.587 | 75 | |
| STARInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 2.723 | 2.826 | 75 | |
| WingInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 3.104 | 3.71 | 72.9 | |
| AWingInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 3.361 | 3.916 | 69.4 | |
| ADNetInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 3.441 | 4.996 | 71.5 | |
| HRNetInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 4.99 | 4.897 | 78.9 | |
| SDFLInput=RGB + Event, Training=Fine-tuned on E-WFLW-V2025.09 | 10.736 | 32.298 | 38 |