LiteFlowNet3-S
Reported on 6 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision6 results
- Average End-Point Error· 2020-07-183.03best: 0.963 (MEMFOF-L)
- Average End-Point Error· 2020-07-184.53best: 1.907 (MEMFOF-L)
- Fl-all· 2020-07-187.22best: 11.22 (FastFlowNet-ft)
- Fl-fg· 2020-07-186.96best: 7.75 (LiteFlowNet3)
- Average End-Point Error· 2020-07-181.3best: 0.8 (CroCo-Flow)
- Noc· 2020-07-180.7