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 1–25 of 438 papers

Title	Date	Tasks	Status	Hype
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors	Jul 6, 2022	2D Object DetectionGPU	CodeCode Available	7
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications	Sep 7, 2022	GPUObject Detection	CodeCode Available	5
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks	Mar 30, 2023	Human ParsingPedestrian Attribute Recognition	CodeCode Available	3
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset	Jul 14, 2024	3D Object DetectionMultispectral Object Detection	CodeCode Available	2
UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning	Apr 26, 2024	Multispectral Object DetectionPedestrian Detection	CodeCode Available	2
Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection	Jan 19, 2024	Multispectral Object DetectionObject	CodeCode Available	2
Hulk: A Universal Knowledge Translator for Human-Centric Tasks	Dec 4, 2023	3D Human Pose EstimationAction Recognition	CodeCode Available	2
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining	Mar 10, 2023	AttributeAutonomous Driving	CodeCode Available	2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers	Mar 9, 2022	3D Object DetectionAutonomous Vehicles	CodeCode Available	2
F2DNet: Fast Focal Detection Network for Pedestrian Detection	Mar 4, 2022	object-detectionObject Detection	CodeCode Available	2
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond	Jan 10, 2022	AttributeAutonomous Driving	CodeCode Available	2
Detection in Crowded Scenes: One Proposal, Multiple Predictions	Mar 20, 2020	Object DetectionPedestrian Detection	CodeCode Available	2
Focal Loss for Dense Object Detection	Aug 7, 2017	2D Object DetectionDense Object Detection	CodeCode Available	2
Feature Pyramid Networks for Object Detection	Dec 9, 2016	GPUObject	CodeCode Available	2
Fast Algorithms for Convolutional Neural Networks	Sep 30, 2015	GPUPedestrian Detection	CodeCode Available	2
Multispectral Pedestrian Detection with Sparsely Annotated Label	Jan 5, 2025	object-detectionObject Detection	CodeCode Available	1
MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion	Aug 28, 2024	Pedestrian Detection	CodeCode Available	1
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection	Aug 2, 2024	Autonomous DrivingMamba	CodeCode Available	1
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection	May 21, 2024	Knowledge DistillationPedestrian Detection	CodeCode Available	1
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection	Apr 29, 2024	Autonomous DrivingMultispectral Object Detection	CodeCode Available	1
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments	Mar 20, 2024	object-detectionObject Detection	CodeCode Available	1
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection	Mar 2, 2024	Pedestrian Detection	CodeCode Available	1
INSANet: INtra-INter Spectral Attention Network for Effective Feature Fusion of Multispectral Pedestrian Detection	Feb 10, 2024	Multispectral Object DetectionPedestrian Detection	CodeCode Available	1
Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World	Dec 2, 2023	Human DetectionPedestrian Detection	CodeCode Available	1
DDAM-PS: Diligent Domain Adaptive Mixer for Person Search	Oct 31, 2023	Domain AdaptationPedestrian 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