Multi-data Scene Flow Challenge

Leaderboard

Scene flow on Argoverse 2, Waymo, TruckScenes, nuScenes and Aeva, ranked by mean Dynamic (lower is better). Challenge details

Training data: single-dataset (clear filter)
# Method mean Dynamic [35-70] AV2 [35-70]Waymo [35-70]TruckScenes [35-70]NuScenes [35-70]Aeva [35-70] Date
1 SynFlow-4k 0.3233 0.1525 0.1780 0.3533 0.4525 0.4804 2026-04-10
2 DeltaFlow-av2 0.3491 0.1432 0.1804 0.4239 0.6473 0.3508 2026-04-06
3 SSF-long-av2 0.5248 0.2467 0.3015 0.6001 0.8700 0.6059 2026-04-06
Not evaluated at 35–70 m · 5 entries. The team chose to evaluate only 0–35 m (e.g. the model crops the point cloud at 51.2 m), so they are not compared here. See the 0–35 m ranking.
– DeltaFlow_RVloss_AV2 not evaluated at 35–70 m (team's choice) 2026-05-01
– TeFlow-av2 not evaluated at 35–70 m (team's choice) 2026-04-10
– VoteFlow-av2 not evaluated at 35–70 m (team's choice) 2026-04-10
– SeFlow++-av2 not evaluated at 35–70 m (team's choice) 2026-04-10
– SeFlow-av2 not evaluated at 35–70 m (team's choice) 2026-04-10

Click a label such as supervised, unsupervised or multi-dataset to filter by it. Bold green marks the best value in each column. Dynamic metrics are speed-normalized EPE (unitless); Static and Threeway metrics are EPE in meters.