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Models/FRCNN+Seg

FRCNN+Seg

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Robots4 results

Autonomous VehiclesonCityPersons
Large MR^-2· 2017-02-19
8
SOTA
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693
Autonomous VehiclesonCityPersons
Medium MR^-2· 2017-02-19
6.7
best: 7.2 (FRCNN)
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693
Autonomous VehiclesonCityPersons
Reasonable MR^-2· 2017-02-19
14.8
best: 15.5 (TLL)
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693
Autonomous VehiclesonCityPersons
Small MR^-2· 2017-02-19
22.6
best: 25.6 (FRCNN)
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693

Computer Vision4 results

Pedestrian DetectiononCityPersons
Large MR^-2· 2017-02-19
8
SOTA
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693
Pedestrian DetectiononCityPersons
Medium MR^-2· 2017-02-19
6.7
best: 7.2 (FRCNN)
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693
Pedestrian DetectiononCityPersons
Reasonable MR^-2· 2017-02-19
14.8
best: 15.5 (TLL)
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693
Pedestrian DetectiononCityPersons
Small MR^-2· 2017-02-19
22.6
best: 25.6 (FRCNN)
CityPersons: A Diverse Dataset for Pedestrian Detection arXiv:1702.05693