Pedestrian Detection on KITTI Hard (val)
64.08APMS-CNN
Evaluation results
| Method | Links | |
|---|---|---|
| MS-CNNInput Scale=2x2017.05 | 64.08 | |
| HyperNetInput Scale=2x, Note=HyperLearner without CFN2017.05 | 63.43 | |
| HyperLearner + EdgeInput Scale=2x, Feature Supervision=Edge2017.05 | 63.24 | |
| HyperLearner + SegmentationInput Scale=1x, Feature Supervision=Semantic Segmentation2017.05 | 62.34 | |
| HyperLearner + SegmentationInput Scale=2x, Feature Supervision=Semantic Segmentation2017.05 | 62.34 | |
| BaselineInput Scale=2x2017.05 | 62.3 | |
| HyperLearner + EdgeInput Scale=1x, Feature Supervision=Edge2017.05 | 62.15 | |
| Fr-RCNN*Input Scale=2x2017.05 | 62.08 | |
| BaselineInput Scale=1x2017.05 | 61.2 | |
| HyperNetInput Scale=1x, Note=HyperLearner without CFN2017.05 | 61.1 | |
| MS-CNNInput Scale=1x2017.05 | 60.72 | |
| Fr-RCNN*Input Scale=1x2017.05 | 53.01 |