NMS-Loss

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots2 results

Autonomous VehiclesonCaltech
Reasonable Miss Rate· 2021-06-04
2.92
best: 24.8 (LDCF)
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection arXiv:2106.02426
Autonomous VehiclesonCityPersons
Reasonable MR^-2· 2021-06-04
10.08
best: 15.5 (TLL)
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection arXiv:2106.02426

Computer Vision2 results

Pedestrian DetectiononCaltech
Reasonable Miss Rate· 2021-06-04
2.92
best: 24.8 (LDCF)
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection arXiv:2106.02426
Pedestrian DetectiononCityPersons
Reasonable MR^-2· 2021-06-04
10.08
best: 15.5 (TLL)
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection arXiv:2106.02426