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Models/OR-CNN

OR-CNN

Reported on 8 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.

Robots4 results

Autonomous VehiclesonCityPersons
Bare MR^-2· 2018-07-23
6.7
best: 10 (TLL)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407
Autonomous VehiclesonCityPersons
Heavy MR^-2· 2018-07-23
55.7
best: 56.9 (RepLoss)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407
Autonomous VehiclesonCityPersons
Partial MR^-2· 2018-07-23
15.3
best: 17.2 (TLL)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407
Autonomous VehiclesonCityPersons
Reasonable MR^-2· 2018-07-23
12.8
best: 15.5 (TLL)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407

Computer Vision4 results

Pedestrian DetectiononCityPersons
Bare MR^-2· 2018-07-23
6.7
best: 10 (TLL)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407
Pedestrian DetectiononCityPersons
Heavy MR^-2· 2018-07-23
55.7
best: 56.9 (RepLoss)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407
Pedestrian DetectiononCityPersons
Partial MR^-2· 2018-07-23
15.3
best: 17.2 (TLL)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407
Pedestrian DetectiononCityPersons
Reasonable MR^-2· 2018-07-23
12.8
best: 15.5 (TLL)
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd arXiv:1807.08407