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 176–200 of 438 papers

Title	Date	Tasks	Status	Hype
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains	Aug 17, 2021	Autonomous VehiclesPedestrian Detection	—Unverified	0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study	Aug 3, 2021	Autonomous DrivingHuman Detection	—Unverified	0
MLPD: Multi-Label Pedestrian Detector in Multispectral Domain	Jul 26, 2021	Multi-Label LearningMultispectral Object Detection	CodeCode Available	1
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU	Jul 23, 2021	Pedestrian Detectionregression	—Unverified	0
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations	Jul 21, 2021	Objectobject-detection	—Unverified	0
Efficient Learning of Pinball TWSVM using Privileged Information and its applications	Jul 14, 2021	BIG-bench Machine LearningHandwritten Digit Recognition	—Unverified	0
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels	Jun 25, 2021	3D Object DetectionGraph Neural Network	—Unverified	0
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
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving	May 26, 2021	Autonomous DrivingGraph Attention	—Unverified	0
Improved Instance Discrimination and Feature Compactness for End-to-End Person Search	May 21, 2021	Pedestrian DetectionPerson Re-Identification	CodeCode Available	0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning	May 17, 2021	Contrastive LearningDomain Adaptation	—Unverified	0
Verification of Size Invariance in DNN Activations using Concept Embeddings	May 14, 2021	Pedestrian Detection	—Unverified	0
Stable and Effective One-Step Method for Person Search	May 13, 2021	Multi-Task LearningPedestrian Detection	—Unverified	0
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks	May 3, 2021	Autonomous DrivingPedestrian Detection	—Unverified	0
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection	Apr 28, 2021	object-detectionObject Detection	—Unverified	0
Variational Pedestrian Detection	Apr 26, 2021	object-detectionObject Detection	—Unverified	0
Computer vision in automated parking systems: Design, implementation and challenges	Apr 26, 2021	3D ReconstructionAutonomous Driving	—Unverified	0
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer	Apr 13, 2021	Domain AdaptationIncremental Learning	CodeCode Available	1
Generalizable Multi-Camera 3D Pedestrian Detection	Apr 12, 2021	Generalizable Person Re-identificationPedestrian Detection	—Unverified	0
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection	Apr 7, 2021	Object DetectionPedestrian Detection	—Unverified	0
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
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection	Mar 18, 2021	Autonomous DrivingPedestrian Detection	—Unverified	0
Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet	Mar 5, 2021	Object DetectionPedestrian Detection	—Unverified	0

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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