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 76–100 of 438 papers

Title	Date	Tasks	Status	Hype
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection	Aug 23, 2023	Data AugmentationPedestrian Detection	—Unverified	0
Stabilizing multispectral pedestrian detection with evidential hybrid fusion	Aug 21, 2023	Pedestrian Detection	—Unverified	0
VALERIE22 -- A photorealistic, richly metadata annotated dataset of urban environments	Aug 18, 2023	Pedestrian Detection	—Unverified	0
Learning Scene-Pedestrian Graph for End to end Person Search	Aug 9, 2023	Graph MatchingPedestrian Detection	CodeCode Available	0
Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis	Aug 8, 2023	Pedestrian Detection	—Unverified	0
Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)	Aug 6, 2023	BenchmarkingImage Segmentation	—Unverified	0
Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems	Aug 5, 2023	Autonomous DrivingFairness	CodeCode Available	0
WCCNet: Wavelet-integrated CNN with Crossmodal Rearranging Fusion for Fast Multispectral Pedestrian Detection	Aug 2, 2023	Computational EfficiencyPedestrian Detection	—Unverified	0
ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection	Jul 21, 2023	Generative Adversarial NetworkImage-to-Image Translation	—Unverified	0
Nonlinear optical encoding enabled by recurrent linear scattering	Jul 17, 2023	Data CompressionDecoder	CodeCode Available	1
Continual Learning for Out-of-Distribution Pedestrian Detection	Jun 26, 2023	Continual Learningobject-detection	CodeCode Available	0
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis	Jun 20, 2023	De-identificationImage Generation	—Unverified	0
Multimodal Object Detection by Channel Switching and Spatial Attention	Jun 18, 2023	Multispectral Object Detectionobject-detection	—Unverified	0
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving	Jun 6, 2023	Autonomous DrivingDimensionality Reduction	—Unverified	0
Pedestrian detection with high-resolution event camera	May 29, 2023	Autonomous VehiclesPedestrian Detection	—Unverified	0
TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection	May 26, 2023	Multispectral Object Detectionobject-detection	CodeCode Available	1
Bright Channel Prior Attention for Multispectral Pedestrian Detection	May 22, 2023	Image Enhancementobject-detection	—Unverified	0
Real-time Aerial Detection and Reasoning on Embedded-UAVs	May 21, 2023	Activity RecognitionPedestrian Detection	—Unverified	0
Unsupervised Multi-view Pedestrian Detection	May 21, 2023	Camera CalibrationPedestrian Detection	—Unverified	0
Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection	May 18, 2023	Allobject-detection	—Unverified	0
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection	May 16, 2023	Dataset GenerationPedestrian Detection	—Unverified	0
t-RAIN: Robust generalization under weather-aliasing label shift attacks	May 15, 2023	Autonomous VehiclesData Augmentation	—Unverified	0
Self-Supervised Learning for Point Clouds Data: A Survey	May 9, 2023	Pedestrian DetectionSelf-Supervised Learning	—Unverified	0
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis	May 8, 2023	Pedestrian Detection	CodeCode Available	0
6G Integrated Sensing and Communication: From Vision to Realization	May 3, 2023	Integrated sensing and communicationISAC	—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	YOLOv3 (Thermal)	mAP	82.7	—	Unverified
3	CFT	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