SOTAVerified

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

Showing 51100 of 438 papers

TitleStatusHype
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded ScenesCode1
TFDet: Target-Aware Fusion for RGB-T Pedestrian DetectionCode1
MLPD: Multi-Label Pedestrian Detector in Multispectral DomainCode1
MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image FusionCode1
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian DetectionCode1
PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimationCode1
Body-Face Joint Detection via Embedding and Head HookCode1
Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention ModuleCode1
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar NetworkCode1
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across EnvironmentsCode1
LGD: Label-guided Self-distillation for Object DetectionCode1
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian DetectionCode1
Graph Neural Networks for Cross-Camera Data AssociationCode1
Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real WorldCode1
Bringing Generalization to Deep Multi-View Pedestrian DetectionCode1
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian DetectionCode1
CARLA-BSP: a simulated dataset with pedestriansCode1
DETR for Crowd Pedestrian DetectionCode1
DDAM-PS: Diligent Domain Adaptive Mixer for Person SearchCode1
Nonlinear optical encoding enabled by recurrent linear scatteringCode1
TJU-DHD: A Diverse High-Resolution Dataset for Object DetectionCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Exploring Visual Context for Weakly Supervised Person SearchCode1
CityPersons: A Diverse Dataset for Pedestrian DetectionCode1
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain TransferCode1
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian DetectionCode0
Object Detection in 20 Years: A SurveyCode0
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the EdgeCode0
Multispectral Pedestrian Detection via Simultaneous Detection and SegmentationCode0
Accurate Single Stage Detector Using Recurrent Rolling ConvolutionCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Benchmarking person re-identification datasets and approaches for practical real-world implementationsCode0
Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared ImagesCode0
Attribute-aware Pedestrian Detection in a CrowdCode0
Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learningCode0
Mask-Guided Attention Network for Occluded Pedestrian DetectionCode0
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box AlignmentCode0
Learning Cross-Modal Deep Representations for Robust Pedestrian DetectionCode0
Joint Detection and Identification Feature Learning for Person SearchCode0
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization FittingCode0
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object DetectionCode0
Count- and Similarity-aware R-CNN for Pedestrian DetectionCode0
Input Dropout for Spatially Aligned ModalitiesCode0
Automatic adaptation of object detectors to new domains using self-trainingCode0
Convolutional Channel FeaturesCode0
Learning Scene-Pedestrian Graph for End to end Person SearchCode0
Bias Behind the Wheel: Fairness Testing of Autonomous Driving SystemsCode0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
Continual Learning for Out-of-Distribution Pedestrian DetectionCode0
Illuminating Pedestrians via Simultaneous Detection & SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UniHCP (FT)Heavy MR^-227.2Unverified
2LDCFReasonable Miss Rate24.8Unverified
3AlexNetReasonable Miss Rate23.3Unverified
4TA-CNNReasonable Miss Rate20.9Unverified
5Checkerboards+Reasonable Miss Rate17.1Unverified
6NNNFReasonable Miss Rate16.2Unverified
7Part-level CNN + saliency and bounding box alignmentReasonable Miss Rate12.4Unverified
8CompACT-DeepReasonable Miss Rate11.75Unverified
9MCFReasonable Miss Rate10.4Unverified
10MS-CNNReasonable Miss Rate9.95Unverified
#ModelMetricClaimedVerifiedStatus
1ACSP + EuroCity PersonsHeavy MR^-242.5Unverified
2TLLReasonable MR^-215.5Unverified
3FRCNNReasonable MR^-215.4Unverified
4FRCNN+SegReasonable MR^-214.8Unverified
5TLL+MRFReasonable MR^-214.4Unverified
6RepLossReasonable MR^-213.2Unverified
7OR-CNNReasonable MR^-212.8Unverified
8ALFNetReasonable MR^-212Unverified
9CSP (with offset) + ResNet-50Reasonable MR^-211Unverified
10NOH-NMSReasonable MR^-210.8Unverified
#ModelMetricClaimedVerifiedStatus
1INSANetlog average miss rate4.43Unverified
2MMPedestronAP0.73Unverified
3CAFF-DINOAP0.69Unverified
4CFTAP0.64Unverified
5UniRGB-IRAP0.63Unverified
6RSDetAP0.61Unverified
7CMXAP0.6Unverified
8CSSAAP0.59Unverified
9GAFFAP0.56Unverified
10Halfway FusionAP0.55Unverified
#ModelMetricClaimedVerifiedStatus
1YOLOv6 (Thermal) mAP84.4Unverified
2CFT mAP82.7Unverified
3YOLOv3 (Thermal) mAP82.7Unverified
4CMX mAP81.6Unverified
5YOLOv7 (Thermal)mAP77.8Unverified
6YOLOv6 (Visible) mAP38.1Unverified
7YOLOv7 (Visible)mAP35.3Unverified
8YOLOv3 (Visible) mAP34.5Unverified
#ModelMetricClaimedVerifiedStatus
1FCOSR (miss rate)24.35Unverified
2RetinaNetR (miss rate)23.89Unverified
3FPNR (miss rate)22.3Unverified
4CrowdDetR (miss rate)20.82Unverified
5EGCLR (miss rate)19.73Unverified
6LSFMR (miss rate)18.7Unverified
#ModelMetricClaimedVerifiedStatus
1RetinaNetR (miss rate)34.73Unverified
2FCOSR (miss rate)31.89Unverified
3CrowdDetR (miss rate)25.73Unverified
4EGCLR (miss rate)24.84Unverified
#ModelMetricClaimedVerifiedStatus
1CFTAP5078.2Unverified
2CMXAP5068.9Unverified
#ModelMetricClaimedVerifiedStatus
1LSFMMR0.87Unverified
#ModelMetricClaimedVerifiedStatus
1MMPedestronbox mAP79Unverified