LiDAR Scene Flow Estimation on Argoverse 2 (val)
3.5Mean EPE (cm)TeFlow + TrackCue
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| TeFlow + TrackCue#Frame=5, Method Category=Feed-forward2026.05 | 3.5 | 7.01 | 1.51 | 1.99 | 21.8 | 14.5 | 23.4 | 30.2 | 19.3 | |
| TeFlow#Frame=5, Method Category=Feed-forward2026.05 | 3.59 | 7.18 | 1.36 | 2.23 | 22.2 | 14 | 28.5 | 28.4 | 17.9 | |
| SeFlow++ + TrackCue#Frame=3, Method Category=Feed-forward2026.05 | 4.29 | 9.15 | 2.39 | 1.31 | 29.8 | 17.6 | 32 | 42.2 | 27.6 | |
| SeFlow + TrackCue#Frame=2, Method Category=Feed-forward2026.05 | 4.56 | 10.58 | 1.96 | 1.14 | 35.2 | 19.4 | 37.5 | 51.8 | 32 | |
| SeFlow++#Frame=3, Method Category=Feed-forward2026.05 | 4.78 | 9.48 | 3.05 | 1.8 | 32.8 | 18.2 | 33.4 | 50.8 | 29 | |
| SeFlow#Frame=2, Method Category=Feed-forward2026.05 | 4.88 | 11.37 | 1.97 | 1.31 | 37.2 | 21.5 | 37.8 | 55.1 | 34.3 | |
| VoteFlow#Frame=2, Method Category=Feed-forward2026.05 | 5.56 | 13.11 | 2.12 | 1.44 | 33.5 | 22.3 | 34.2 | 42.9 | 34.7 | |
| ICP-Flow#Frame=2, Method Category=Optimization-based2026.05 | 6.44 | 12.4 | 3.75 | 3.19 | 34.6 | 22.9 | 35.4 | 45 | 35.1 | |
| ZeroFlow#Frame=2, Method Category=Feed-forward2026.05 | 6.6 | 12.9 | 3.72 | 3.16 | 56.5 | 27.5 | 43.5 | 89.4 | 65.8 | |
| NSFP#Frame=2, Method Category=Optimization-based2026.05 | 7.19 | 12.44 | 4.52 | 4.62 | 40.6 | 21.8 | 28.4 | 69.8 | 42.2 | |
| FastNSF#Frame=2, Method Category=Optimization-based2026.05 | 8.32 | 13.09 | 5.73 | 6.15 | 36.5 | 23.6 | 40.5 | 50.1 | 31.8 |