Autonomous Vehicles on CityPersons

Metric: Heavy MR^-2 (higher is better)

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#	Model↕	Heavy MR^-2▼	Extra Data	Paper	Date↕	Code
1	RepLoss	56.9	No	Repulsion Loss: Detecting Pedestrians in a Crowd	2017-11-21	Code
2	OR-CNN	55.7	No	Occlusion-aware R-CNN: Detecting Pedestrians in ...	2018-07-23	-
3	TLL	53.6	No	Small-scale Pedestrian Detection Based on Somati...	2018-07-04	-
4	NOH-NMS	53	No	NOH-NMS: Improving Pedestrian Detection by Nearb...	2020-07-27	Code
5	TLL+MRF	52	No	Small-scale Pedestrian Detection Based on Somati...	2018-07-04	-
6	ALFNet	51.9	No	-	-	Code
7	CSP (with offset) + ResNet-50	49.3	No	Center and Scale Prediction: Anchor-free Approac...	2019-04-05	Code
8	Beta R-CNN	47.1	No	Beta R-CNN: Looking into Pedestrian Detection fr...	2022-10-23	-
9	ACSP	46.3	No	Adapted Center and Scale Prediction: More Stable...	2020-02-20	Code
10	VLPD	43.1	No	VLPD: Context-Aware Pedestrian Detection via Vis...	2023-04-06	Code
11	ACSP + EuroCity Persons	42.5	Yes	Adapted Center and Scale Prediction: More Stable...	2020-02-20	Code
12	SOLIDER	39.4	Yes	Beyond Appearance: a Semantic Controllable Self-...	2023-03-30	Code
13	Pedestron	33.9	Yes	Generalizable Pedestrian Detection: The Elephant...	2020-03-19	Code
14	F2DNet	32.6	No	F2DNet: Fast Focal Detection Network for Pedestr...	2022-03-04	Code
15	LSFM	31.9	No	-	-	-
16	DIW Loss	28.37	Yes	-	-	-
17	F2DNet (extra data)	26.23	Yes	F2DNet: Fast Focal Detection Network for Pedestr...	2022-03-04	Code
18	LSFM (Additional Data)	24.73	Yes	-	-	-