MaskFlownet-S
Reported on 4 benchmarks across 1 task · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision4 results
- Average End-Point Error· 2020-03-24SOTA1.1best: 0.8 (CroCo-Flow)
- Average End-Point Error· 2020-03-242.77best: 0.963 (MEMFOF-L)
- Average End-Point Error· 2020-03-244.38best: 1.907 (MEMFOF-L)
- Fl-all· 2020-03-246.81best: 11.22 (FastFlowNet-ft)