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 26–50 of 438 papers

Title	Date	Tasks	Status	Hype
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer	Apr 13, 2021	Domain AdaptationIncremental Learning	CodeCode Available	1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies	Aug 20, 2021	Instance SegmentationPedestrian Detection	CodeCode Available	1
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection	Jan 12, 2021	object-detectionObject Detection	CodeCode Available	1
LMOT: Efficient Light-Weight Detection and Tracking in Crowds	Aug 8, 2022	2D Object DetectionMulti-Object Tracking	CodeCode Available	1
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection	Apr 29, 2024	Autonomous DrivingMultispectral Object Detection	CodeCode Available	1
From Handcrafted to Deep Features for Pedestrian Detection: A Survey	Oct 1, 2020	Pedestrian DetectionSurvey	CodeCode Available	1
Adapted Center and Scale Prediction: More Stable and More Accurate	Feb 20, 2020	object-detectionObject Detection	CodeCode Available	1
Graph Neural Networks for Cross-Camera Data Association	Jan 17, 2022	3D Pose EstimationGraph Matching	CodeCode Available	1
Exploring Visual Context for Weakly Supervised Person Search	Jun 19, 2021	ClusteringPedestrian Detection	CodeCode Available	1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL	Sep 16, 2021	Autonomous DrivingAutonomous Vehicles	CodeCode Available	1
FCOS: Fully Convolutional One-Stage Object Detection	Apr 2, 2019	2D Object DetectionObject	CodeCode Available	1
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection	Jan 3, 2021	Multispectral Object Detectionobject-detection	CodeCode Available	1
DDAM-PS: Diligent Domain Adaptive Mixer for Person Search	Oct 31, 2023	Domain AdaptationPedestrian Detection	CodeCode Available	1
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization	Jul 22, 2022	Data AugmentationMultiview Detection	CodeCode Available	1
Domain Adaptive Person Search	Jul 25, 2022	Pedestrian DetectionPerson Re-Identification	CodeCode Available	1
CrowdHuman: A Benchmark for Detecting Human in a Crowd	Apr 30, 2018	DiversityHuman Detection	CodeCode Available	1
Nonlinear optical encoding enabled by recurrent linear scattering	Jul 17, 2023	Data CompressionDecoder	CodeCode Available	1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection	Sep 27, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset	Dec 12, 2022	Autonomous Drivingobject-detection	CodeCode Available	1
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection	May 21, 2024	Knowledge DistillationPedestrian Detection	CodeCode Available	1
Cross-Modality Fusion Transformer for Multispectral Object Detection	Oct 30, 2021	Multispectral Object DetectionObject	CodeCode Available	1
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection	Mar 2, 2024	Pedestrian 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
CARLA-BSP: a simulated dataset with pedestrians	Apr 29, 2023	Pedestrian DetectionPose Estimation	CodeCode Available	1
CityPersons: A Diverse Dataset for Pedestrian Detection	Feb 19, 2017	DiversityPedestrian Detection	CodeCode Available	1

Show:10 25 50

← PrevPage 2 of 18Next →

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