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	Hype
Flexible Network Binarization with Layer-wise Priority	Sep 13, 2017	BinarizationPedestrian Detection	—Unverified	0
Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy	Sep 1, 2017	Pedestrian DetectionRegion Proposal	—Unverified	0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms	Aug 24, 2017	Pedestrian DetectionStereo Matching	—Unverified	0
Focal Loss for Dense Object Detection	Aug 7, 2017	2D Object DetectionDense Object Detection	CodeCode Available	2
The WILDTRACK Multi-Camera Person Dataset	Jul 28, 2017	Camera CalibrationPedestrian Detection	—Unverified	0
MixedPeds: Pedestrian Detection in Unannotated Videos using Synthetically Generated Human-agents for Training	Jul 28, 2017	Mixed RealityPedestrian Detection	—Unverified	0
Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset	Jul 22, 2017	Human DetectionPedestrian Detection	—Unverified	0
Image Segmentation Algorithms Overview	Jul 7, 2017	ClusteringEdge Detection	—Unverified	0
Illuminating Pedestrians via Simultaneous Detection & Segmentation	Jun 26, 2017	Autonomous DrivingPedestrian Detection	CodeCode Available	0
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision	Jun 19, 2017	Pedestrian Detectionvalid	—Unverified	0
What Can Help Pedestrian Detection?	May 8, 2017	Pedestrian Detection	—Unverified	0
Robust Multi-view Pedestrian Tracking Using Neural Networks	Apr 21, 2017	General ClassificationPedestrian Detection	—Unverified	0
Accurate Single Stage Detector Using Recurrent Rolling Convolution	Apr 19, 2017	3D Object DetectionObject	CodeCode Available	0
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection	Apr 8, 2017	Pedestrian Detection	CodeCode Available	0
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters	Mar 18, 2017	Autonomous VehiclesPedestrian Detection	CodeCode Available	0
CityPersons: A Diverse Dataset for Pedestrian Detection	Feb 19, 2017	DiversityPedestrian Detection	CodeCode Available	1
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection	Jan 6, 2017	Face Detectionobject-detection	—Unverified	0
Feature Pyramid Networks for Object Detection	Dec 9, 2016	GPUObject	CodeCode Available	2
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection	Dec 1, 2016	Knowledge DistillationPedestrian Detection	—Unverified	0
DeepSetNet: Predicting Sets with Deep Neural Networks	Nov 28, 2016	image-classificationImage Classification	—Unverified	0
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model	Nov 22, 2016	ObjectObject Discovery	—Unverified	0
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest	Nov 9, 2016	Domain AdaptationGeneral Classification	—Unverified	0
Multispectral Deep Neural Networks for Pedestrian Detection	Nov 8, 2016	2D Object Detection3D Object Detection	CodeCode Available	1
GPU-based Pedestrian Detection for Autonomous Driving	Nov 5, 2016	Autonomous DrivingCPU	—Unverified	0
Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection	Oct 11, 2016	Pedestrian DetectionSemantic Segmentation	—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