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 351–375 of 438 papers

Title	Date	Tasks	Status
Aggregated Channels Network for Real-Time Pedestrian Detection	Jan 1, 2018	GPUPedestrian Detection	—Unverified
Scene-Specific Pedestrian Detection Based on Parallel Vision	Dec 23, 2017	object-detectionObject Detection	CodeCode Available
Repulsion Loss: Detecting Pedestrians in a Crowd	Nov 21, 2017	Pedestrian Detectionregression	CodeCode Available
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection	Oct 17, 2017	Autonomous VehiclesClustering	—Unverified
Multi-Label Learning of Part Detectors for Heavily Occluded Pedestrian Detection	Oct 1, 2017	Multi-Label LearningPedestrian Detection	—Unverified
Flexible Network Binarization with Layer-wise Priority	Sep 13, 2017	BinarizationPedestrian Detection	—Unverified
Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy	Sep 1, 2017	Pedestrian DetectionRegion Proposal	—Unverified
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms	Aug 24, 2017	Pedestrian DetectionStereo Matching	—Unverified
MixedPeds: Pedestrian Detection in Unannotated Videos using Synthetically Generated Human-agents for Training	Jul 28, 2017	Mixed RealityPedestrian Detection	—Unverified
The WILDTRACK Multi-Camera Person Dataset	Jul 28, 2017	Camera CalibrationPedestrian Detection	—Unverified
Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset	Jul 22, 2017	Human DetectionPedestrian Detection	—Unverified
Image Segmentation Algorithms Overview	Jul 7, 2017	ClusteringEdge Detection	—Unverified
Illuminating Pedestrians via Simultaneous Detection & Segmentation	Jun 26, 2017	Autonomous DrivingPedestrian Detection	CodeCode Available
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision	Jun 19, 2017	Pedestrian Detectionvalid	—Unverified
What Can Help Pedestrian Detection?	May 8, 2017	Pedestrian Detection	—Unverified
Robust Multi-view Pedestrian Tracking Using Neural Networks	Apr 21, 2017	General ClassificationPedestrian Detection	—Unverified
Accurate Single Stage Detector Using Recurrent Rolling Convolution	Apr 19, 2017	3D Object DetectionObject	CodeCode Available
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection	Apr 8, 2017	Pedestrian Detection	CodeCode Available
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	Mar 18, 2017	Autonomous VehiclesPedestrian Detection	CodeCode Available
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection	Jan 6, 2017	Face Detectionobject-detection	—Unverified
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection	Dec 1, 2016	Knowledge DistillationPedestrian Detection	—Unverified
DeepSetNet: Predicting Sets with Deep Neural Networks	Nov 28, 2016	image-classificationImage Classification	—Unverified
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model	Nov 22, 2016	ObjectObject Discovery	—Unverified
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest	Nov 9, 2016	Domain AdaptationGeneral Classification	—Unverified
GPU-based Pedestrian Detection for Autonomous Driving	Nov 5, 2016	Autonomous DrivingCPU	—Unverified

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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