glance-noft-2L
Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision4 results
- m-reIRMSE-nz· 2016-04-12SOTA0.73best: 0.61 (Supervised Density Map)
- m-relRMSE· 2016-04-12SOTA0.27best: 0.17 (Supervised Density Map)
- mRMSE· 2016-04-12SOTA0.5best: 0.0023 (Omnicount)
- mRMSE-nz· 2016-04-12SOTA1.83best: 0.009 (Omnicount)