Pedestrian Detection on TJU-Ped-traffic

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

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#	Model↕	R (miss rate)▼	Extra Data	Paper	Date↕	Code
1	FCOS	24.35	No	FCOS: Fully Convolutional One-Stage Object Detec...	2019-04-02	Code
2	RetinaNet	23.89	No	Focal Loss for Dense Object Detection	2017-08-07	Code
3	FPN	22.3	No	Feature Pyramid Networks for Object Detection	2016-12-09	Code
4	CrowdDet	20.82	No	Detection in Crowded Scenes: One Proposal, Multi...	2020-03-20	Code
5	EGCL	19.73	No	Pedestrian Detection by Exemplar-Guided Contrast...	2021-11-17	-
6	LSFM	18.7	No	-	-	-

#1FCOSSOTA
24.35
R (miss rate)· 2019-04-02
FCOS: Fully Convolutional One-Stage Object Detection Code
#2RetinaNetSOTA
23.89
R (miss rate)· 2017-08-07
Focal Loss for Dense Object Detection Code
#3FPNSOTA
22.3
R (miss rate)· 2016-12-09
Feature Pyramid Networks for Object Detection Code
#4CrowdDet
20.82
R (miss rate)· 2020-03-20
Detection in Crowded Scenes: One Proposal, Multiple Predictions Code
#5EGCL
19.73
R (miss rate)· 2021-11-17
Pedestrian Detection by Exemplar-Guided Contrastive Learning
#6LSFM
18.7
R (miss rate)
No paper