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Scene Flow Estimation On Argoverse 2
Metrics
EPE 3-Way
EPE Background Static
EPE Foreground Dynamic
EPE Foreground Static
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||||
|---|---|---|---|---|---|---|
| FastNSF | 0.111820 | 0.090712 | 0.163388 | 0.081360 | Fast Neural Scene Flow | |
| FastFlow3D | 0.061960 | 0.004939 | 0.156392 | 0.024549 | Scalable Scene Flow from Point Clouds in the Real World | |
| NSFP | 0.060606 | 0.034445 | 0.115796 | 0.031576 | Neural Scene Flow Prior | |
| ZeroFlow 5x XL | 0.049392 | 0.013082 | 0.117688 | 0.017406 | ZeroFlow: Scalable Scene Flow via Distillation | |
| SeFlow | 0.048590 | 0.005990 | 0.121375 | 0.018404 | SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving | |
| TrackFlow | 0.047316 | 0.002428 | 0.102975 | 0.036544 | - | - |
| DeFlow | 0.034295 | 0.004561 | 0.073231 | 0.025093 | DeFlow: Decoder of Scene Flow Network in Autonomous Driving |
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