Autonomous Vehicles on Caltech

Metric: Reasonable Miss Rate (higher is better)

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#	Model↕	Reasonable Miss Rate▼	Extra Data	Paper	Date↕	Code
1	LDCF	24.8	No	-	-	-
2	AlexNet	23.3	No	Taking a Deeper Look at Pedestrians	2015-01-23	-
3	TA-CNN	20.9	No	Pedestrian Detection aided by Deep Learning Sema...	2014-11-29	-
4	Checkerboards+	17.1	No	Filtered Channel Features for Pedestrian Detection	2015-01-23	-
5	NNNF	16.2	No	Pedestrian Detection Inspired by Appearance Cons...	2015-11-25	-
6	Part-level CNN + saliency and bounding box alignment	12.4	No	Part-Level Convolutional Neural Networks for Ped...	2018-10-01	Code
7	CompACT-Deep	11.75	No	Learning Complexity-Aware Cascades for Deep Pede...	2015-07-19	-
8	MCF	10.4	No	Learning Multilayer Channel Features for Pedestr...	2016-03-01	-
9	MS-CNN	9.95	No	A Unified Multi-scale Deep Convolutional Neural ...	2016-07-25	Code
10	SA-FastRCNN	9.68	No	Scale-aware Fast R-CNN for Pedestrian Detection	2015-10-28	-
11	FasterRCNN	8.7	No	Is Faster R-CNN Doing Well for Pedestrian Detect...	2016-07-24	-
12	F-DNN+SS	8.18	No	Fused DNN: A deep neural network fusion approach...	2016-10-11	-
13	SDS-RCNN	7.36	No	Illuminating Pedestrians via Simultaneous Detect...	2017-06-26	Code
14	RPN+BF	7.3	No	Is Faster R-CNN Doing Well for Pedestrian Detect...	2016-07-24	-
15	TFAN	6.5	No	-	-	-
16	ALFNet	6.1	No	-	-	Code
17	Zhang et al.	5.8	No	CityPersons: A Diverse Dataset for Pedestrian De...	2017-02-19	Code
18	HyperLearner	5.5	No	What Can Help Pedestrian Detection?	2017-05-08	-
19	Zhang et al. *	5.1	No	CityPersons: A Diverse Dataset for Pedestrian De...	2017-02-19	Code
20	RepLoss	5	No	Repulsion Loss: Detecting Pedestrians in a Crowd	2017-11-21	Code
21	CSP	4.5	No	Center and Scale Prediction: Anchor-free Approac...	2019-04-05	Code
22	ALFNet + CityPersons dataset	4.5	Yes	-	-	Code
23	OR-CNN + CityPersons dataset	4.1	Yes	Occlusion-aware R-CNN: Detecting Pedestrians in ...	2018-07-23	-
24	RepLoss + CityPersons dataset	4	Yes	Repulsion Loss: Detecting Pedestrians in a Crowd	2017-11-21	Code
25	CSP + CityPersons dataset	3.8	Yes	Center and Scale Prediction: Anchor-free Approac...	2019-04-05	Code
26	FRCNN+FPN-Res50+refined feature map+Crowdhuman	3.46	Yes	CrowdHuman: A Benchmark for Detecting Human in a...	2018-04-30	Code
27	NMS-Loss	2.92	No	NMS-Loss: Learning with Non-Maximum Suppression ...	2021-06-04	Code
28	VLPD	2.3	No	VLPD: Context-Aware Pedestrian Detection via Vis...	2023-04-06	Code
29	F2DNet	2.2	No	F2DNet: Fast Focal Detection Network for Pedestr...	2022-03-04	Code
30	Pedestron	1.76	Yes	Generalizable Pedestrian Detection: The Elephant...	2020-03-19	Code
31	F2DNet (extra data)	1.71	Yes	F2DNet: Fast Focal Detection Network for Pedestr...	2022-03-04	Code
32	LSFM	0.87	Yes	-	-	-

#1LDCF
24.8
Reasonable Miss Rate
No paper
#2AlexNetSOTA
23.3
Reasonable Miss Rate· 2015-01-23
Taking a Deeper Look at Pedestrians
#3TA-CNNSOTA
20.9
Reasonable Miss Rate· 2014-11-29
Pedestrian Detection aided by Deep Learning Semantic Tasks
#4Checkerboards+
17.1
Reasonable Miss Rate· 2015-01-23
Filtered Channel Features for Pedestrian Detection
#5NNNF
16.2
Reasonable Miss Rate· 2015-11-25
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
#6Part-level CNN + saliency and bounding box alignment
12.4
Reasonable Miss Rate· 2018-10-01
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment Code
#7CompACT-Deep
11.75
Reasonable Miss Rate· 2015-07-19
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
#8MCF
10.4
Reasonable Miss Rate· 2016-03-01
Learning Multilayer Channel Features for Pedestrian Detection
#9MS-CNN
9.95
Reasonable Miss Rate· 2016-07-25
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection Code
#10SA-FastRCNN
9.68
Reasonable Miss Rate· 2015-10-28
Scale-aware Fast R-CNN for Pedestrian Detection
#11FasterRCNN
8.7
Reasonable Miss Rate· 2016-07-24
Is Faster R-CNN Doing Well for Pedestrian Detection?
#12F-DNN+SS
8.18
Reasonable Miss Rate· 2016-10-11
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection
#13SDS-RCNN
7.36
Reasonable Miss Rate· 2017-06-26
Illuminating Pedestrians via Simultaneous Detection & Segmentation Code
#14RPN+BF
7.3
Reasonable Miss Rate· 2016-07-24
Is Faster R-CNN Doing Well for Pedestrian Detection?
#15TFAN
6.5
Reasonable Miss Rate
No paper
#16ALFNet
6.1
Reasonable Miss Rate
No paperCode
#17Zhang et al.
5.8
Reasonable Miss Rate· 2017-02-19
CityPersons: A Diverse Dataset for Pedestrian Detection Code
#18HyperLearner
5.5
Reasonable Miss Rate· 2017-05-08
What Can Help Pedestrian Detection?
#19Zhang et al. *
5.1
Reasonable Miss Rate· 2017-02-19
CityPersons: A Diverse Dataset for Pedestrian Detection Code
#20RepLoss
5
Reasonable Miss Rate· 2017-11-21
Repulsion Loss: Detecting Pedestrians in a Crowd Code
#21CSP
4.5
Reasonable Miss Rate· 2019-04-05
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection Code
#22ALFNet + CityPersons dataset
4.5
Reasonable Miss Rate· Extra Data
No paperCode
#23OR-CNN + CityPersons dataset
4.1
Reasonable Miss Rate· Extra Data· 2018-07-23
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
#24RepLoss + CityPersons dataset
4
Reasonable Miss Rate· Extra Data· 2017-11-21
Repulsion Loss: Detecting Pedestrians in a Crowd Code
#25CSP + CityPersons dataset
3.8
Reasonable Miss Rate· Extra Data· 2019-04-05
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection Code
#26FRCNN+FPN-Res50+refined feature map+Crowdhuman
3.46
Reasonable Miss Rate· Extra Data· 2018-04-30
CrowdHuman: A Benchmark for Detecting Human in a Crowd Code
#27NMS-Loss
2.92
Reasonable Miss Rate· 2021-06-04
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection Code
#28VLPD
2.3
Reasonable Miss Rate· 2023-04-06
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision Code
#29F2DNet
2.2
Reasonable Miss Rate· 2022-03-04
F2DNet: Fast Focal Detection Network for Pedestrian Detection Code
#30Pedestron
1.76
Reasonable Miss Rate· Extra Data· 2020-03-19
Generalizable Pedestrian Detection: The Elephant In The Room Code
#31F2DNet (extra data)
1.71
Reasonable Miss Rate· Extra Data· 2022-03-04
F2DNet: Fast Focal Detection Network for Pedestrian Detection Code
#32LSFM
0.87
Reasonable Miss Rate· Extra Data
No paper