Autonomous Vehicles on TJU-Ped-campus

Metric: R+HO (miss rate) (higher is better)

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#	Model↕	R+HO (miss rate)▼	Extra Data	Paper	Date↕	Code
1	RetinaNet	42.26	No	Focal Loss for Dense Object Detection	2017-08-07	Code
2	FCOS	39.38	No	FCOS: Fully Convolutional One-Stage Object Detec...	2019-04-02	Code
3	CrowdDet	33.63	No	Detection in Crowded Scenes: One Proposal, Multi...	2020-03-20	Code
4	EGCL	32.39	No	Pedestrian Detection by Exemplar-Guided Contrast...	2021-11-17	-

#1RetinaNetSOTA
42.26
R+HO (miss rate)· 2017-08-07
Focal Loss for Dense Object Detection Code
#2FCOS
39.38
R+HO (miss rate)· 2019-04-02
FCOS: Fully Convolutional One-Stage Object Detection Code
#3CrowdDet
33.63
R+HO (miss rate)· 2020-03-20
Detection in Crowded Scenes: One Proposal, Multiple Predictions Code
#4EGCL
32.39
R+HO (miss rate)· 2021-11-17
Pedestrian Detection by Exemplar-Guided Contrastive Learning