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 151–175 of 438 papers

Title	Date	Tasks	Status	Hype
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection	Mar 15, 2022	3D Object DetectionAutonomous Driving	—Unverified	0
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
A-Eye: Driving with the Eyes of AI for Corner Case Generation	Feb 22, 2022	Pedestrian DetectionReal-Time Semantic Segmentation	—Unverified	0
End-to-end Person Search Sequentially Trained on Aggregated Dataset	Jan 24, 2022	Pedestrian DetectionPerson Search	—Unverified	0
Graph Neural Networks for Cross-Camera Data Association	Jan 17, 2022	3D Pose EstimationGraph Matching	CodeCode Available	1
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models	Jan 10, 2022	Pedestrian Detection	—Unverified	0
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond	Jan 10, 2022	AttributeAutonomous Driving	CodeCode Available	2
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network	Dec 31, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	1
Birds Eye View Social Distancing Analysis System	Dec 14, 2021	object-detectionObject Detection	—Unverified	0
Embracing Single Stride 3D Object Detector with Sparse Transformer	Dec 13, 2021	3D Object DetectionAutonomous Driving	—Unverified	0
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection	Dec 9, 2021	Edge-computingGPU	—Unverified	0
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection	Dec 4, 2021	Pedestrian DetectionSpecificity	—Unverified	0
Pedestrian Detection by Exemplar-Guided Contrastive Learning	Nov 17, 2021	Contrastive LearningPedestrian Detection	—Unverified	0
Cross-Modality Fusion Transformer for Multispectral Object Detection	Oct 30, 2021	Multispectral Object DetectionObject	CodeCode Available	1
Benchmarking person re-identification approaches and training datasets for practical real-world implementations	Sep 29, 2021	BenchmarkingPedestrian Detection	—Unverified	0
Bringing Generalization to Deep Multi-View Pedestrian Detection	Sep 24, 2021	multi-view detectionMultiview Detection	CodeCode Available	1
LGD: Label-guided Self-distillation for Object Detection	Sep 23, 2021	Instance SegmentationObject	CodeCode Available	1
Traffic-Net: 3D Traffic Monitoring Using a Single Camera	Sep 19, 2021	3D Object DetectionCamera Auto-Calibration	—Unverified	0
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
Global-Local Dynamic Feature Alignment Network for Person Re-Identification	Sep 13, 2021	Pedestrian DetectionPerson Re-Identification	—Unverified	0
A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data	Aug 27, 2021	Autonomous DrivingOptical Flow Estimation	—Unverified	0
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision	Aug 24, 2021	Image GenerationImage Registration	CodeCode Available	1
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?	Aug 21, 2021	object-detectionObject Detection	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

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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