Pedestrian Detection

Pedestrian detection is the task of detecting pedestrians from a camera.

Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.

( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 438 papers

Title	Date	Tasks	Status	Hype
Exploring Visual Context for Weakly Supervised Person Search	Jun 19, 2021	ClusteringPedestrian Detection	CodeCode Available	1
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection	Jun 4, 2021	object-detectionObject Detection	CodeCode Available	1
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer	Apr 13, 2021	Domain AdaptationIncremental Learning	CodeCode Available	1
Multimodal Object Detection via Probabilistic Ensembling	Apr 7, 2021	3D Object DetectionAutonomous Vehicles	CodeCode Available	1
Anchor-Free Person Search	Mar 22, 2021	Pedestrian DetectionPerson Re-Identification	CodeCode Available	1
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety	Feb 23, 2021	Multi-Object TrackingMultiview Detection	CodeCode Available	1
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection	Jan 12, 2021	object-detectionObject Detection	CodeCode Available	1
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection	Jan 3, 2021	Multispectral Object Detectionobject-detection	CodeCode Available	1
Body-Face Joint Detection via Embedding and Head Hook	Jan 1, 2021	Pedestrian Detection	CodeCode Available	1
DETR for Crowd Pedestrian Detection	Dec 12, 2020	DecoderPedestrian Detection	CodeCode Available	1
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection	Nov 18, 2020	Diversityobject-detection	CodeCode Available	1
From Handcrafted to Deep Features for Pedestrian Detection: A Survey	Oct 1, 2020	Pedestrian DetectionSurvey	CodeCode Available	1
Anchor-free Small-scale Multispectral Pedestrian Detection	Aug 19, 2020	Autonomous DrivingData Augmentation	CodeCode Available	1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems	Aug 7, 2020	Computational EfficiencyMultispectral Object Detection	CodeCode Available	1
Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery	Aug 1, 2020	Domain AdaptationPedestrian Detection	CodeCode Available	1
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination	Jul 27, 2020	HallucinationObject Detection	CodeCode Available	1
Multiview Detection with Feature Perspective Transformation	Jul 14, 2020	Human DetectionMultiview Detection	CodeCode Available	1
Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module	Apr 18, 2020	Autonomous Drivingobject-detection	CodeCode Available	1
Adapted Center and Scale Prediction: More Stable and More Accurate	Feb 20, 2020	object-detectionObject Detection	CodeCode Available	1
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection	Apr 5, 2019	Face Detectionobject-detection	CodeCode Available	1
FCOS: Fully Convolutional One-Stage Object Detection	Apr 2, 2019	2D Object DetectionObject	CodeCode Available	1
CrowdHuman: A Benchmark for Detecting Human in a Crowd	Apr 30, 2018	DiversityHuman Detection	CodeCode Available	1
YOLOv3: An Incremental Improvement	Apr 8, 2018	ClassificationObject Detection	CodeCode Available	1
CityPersons: A Diverse Dataset for Pedestrian Detection	Feb 19, 2017	DiversityPedestrian Detection	CodeCode Available	1
Multispectral Deep Neural Networks for Pedestrian Detection	Nov 8, 2016	2D Object Detection3D Object Detection	CodeCode Available	1

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All datasets Caltech CityPersons LLVIP DVTOD TJU-Ped-traffic TJU-Ped-campus CVC14 Caltech Pedestrian Dataset MMPD-Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UniHCP (FT)	Heavy MR^-2	27.2	—	Unverified
2	LDCF	Reasonable Miss Rate	24.8	—	Unverified
3	AlexNet	Reasonable Miss Rate	23.3	—	Unverified
4	TA-CNN	Reasonable Miss Rate	20.9	—	Unverified
5	Checkerboards+	Reasonable Miss Rate	17.1	—	Unverified
6	NNNF	Reasonable Miss Rate	16.2	—	Unverified
7	Part-level CNN + saliency and bounding box alignment	Reasonable Miss Rate	12.4	—	Unverified
8	CompACT-Deep	Reasonable Miss Rate	11.75	—	Unverified
9	MCF	Reasonable Miss Rate	10.4	—	Unverified
10	MS-CNN	Reasonable Miss Rate	9.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACSP + EuroCity Persons	Heavy MR^-2	42.5	—	Unverified
2	TLL	Reasonable MR^-2	15.5	—	Unverified
3	FRCNN	Reasonable MR^-2	15.4	—	Unverified
4	FRCNN+Seg	Reasonable MR^-2	14.8	—	Unverified
5	TLL+MRF	Reasonable MR^-2	14.4	—	Unverified
6	RepLoss	Reasonable MR^-2	13.2	—	Unverified
7	OR-CNN	Reasonable MR^-2	12.8	—	Unverified
8	ALFNet	Reasonable MR^-2	12	—	Unverified
9	CSP (with offset) + ResNet-50	Reasonable MR^-2	11	—	Unverified
10	NOH-NMS	Reasonable MR^-2	10.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	INSANet	log average miss rate	4.43	—	Unverified
2	MMPedestron	AP	0.73	—	Unverified
3	CAFF-DINO	AP	0.69	—	Unverified
4	CFT	AP	0.64	—	Unverified
5	UniRGB-IR	AP	0.63	—	Unverified
6	RSDet	AP	0.61	—	Unverified
7	CMX	AP	0.6	—	Unverified
8	CSSA	AP	0.59	—	Unverified
9	GAFF	AP	0.56	—	Unverified
10	Halfway Fusion	AP	0.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	YOLOv6 (Thermal)	mAP	84.4	—	Unverified
2	CFT	mAP	82.7	—	Unverified
3	YOLOv3 (Thermal)	mAP	82.7	—	Unverified
4	CMX	mAP	81.6	—	Unverified
5	YOLOv7 (Thermal)	mAP	77.8	—	Unverified
6	YOLOv6 (Visible)	mAP	38.1	—	Unverified
7	YOLOv7 (Visible)	mAP	35.3	—	Unverified
8	YOLOv3 (Visible)	mAP	34.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCOS	R (miss rate)	24.35	—	Unverified
2	RetinaNet	R (miss rate)	23.89	—	Unverified
3	FPN	R (miss rate)	22.3	—	Unverified
4	CrowdDet	R (miss rate)	20.82	—	Unverified
5	EGCL	R (miss rate)	19.73	—	Unverified
6	LSFM	R (miss rate)	18.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RetinaNet	R (miss rate)	34.73	—	Unverified
2	FCOS	R (miss rate)	31.89	—	Unverified
3	CrowdDet	R (miss rate)	25.73	—	Unverified
4	EGCL	R (miss rate)	24.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFT	AP50	78.2	—	Unverified
2	CMX	AP50	68.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSFM	MR	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MMPedestron	box mAP	79	—	Unverified