LiteFlowNet3
Reported on 6 benchmarks across 1 task · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision6 results
- Fl-fg· 2020-07-18SOTA7.75
- Noc· 2020-07-18SOTA0.7
- Average End-Point Error· 2020-07-182.99best: 0.963 (MEMFOF-L)
- Average End-Point Error· 2020-07-184.45best: 1.907 (MEMFOF-L)
- Fl-all· 2020-07-187.34best: 11.22 (FastFlowNet-ft)
- Average End-Point Error· 2020-07-181.3best: 0.8 (CroCo-Flow)