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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 438 papers

TitleStatusHype
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings—0
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes—0
Person Re-identification in the Wild—0
Person Search via A Mask-Guided Two-Stream CNN Model—0
Physically-admissible polarimetric data augmentation for road-scene analysis—0
PMC-GANs: Generating Multi-Scale High-Quality Pedestrian with Multimodal Cascaded GANs—0
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving—0
Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
Progressive Refinement Network for Occluded Pedestrian Detection—0
PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian Detection—0
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement—0
Pushing the Limits of Deep CNNs for Pedestrian Detection—0
Quantum-soft QUBO Suppression for Accurate Object Detection—0
Ranking-based Adaptive Query Generation for DETRs in Crowded Pedestrian Detection—0
Real-time Aerial Detection and Reasoning on Embedded-UAVs—0
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading—0
Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream—0
Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy—0
Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach—0
Real-Time RGB-D based Template Matching Pedestrian Detection—0
Reduced Memory Region Based Deep Convolutional Neural Network Detection—0
Research, Applications and Prospects of Event-Based Pedestrian Detection: A Survey—0
Resisting Crowd Occlusion and Hard Negatives for Pedestrian Detection in the Wild—0
Revisiting Misalignment in Multispectral Pedestrian Detection: A Language-Driven Approach for Cross-modal Alignment Fusion—0
Revisiting Modality Imbalance In Multimodal Pedestrian Detection—0
Road Detection via On--line Label Transfer—0
Robust Multi-resolution Pedestrian Detection in Traffic Scenes—0
Robust Multi-view Pedestrian Tracking Using Neural Networks—0
Robust pedestrian detection in thermal imagery using synthesized images—0
Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bank—0
Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2—0
Robust Real-Time Pedestrian Detection on Embedded Devices—0
Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning—0
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision—0
SADet: Learning An Efficient and Accurate Pedestrian Detector—0
SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection—0
Scale-aware Fast R-CNN for Pedestrian Detection—0
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving—0
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian—0
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection—0
Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection—0
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model—0
Self-Supervised Learning for Point Clouds Data: A Survey—0
Semantic Channels for Fast Pedestrian Detection—0
Semantic Driven Multi-Camera Pedestrian Detection—0
Semantic Head Enhanced Pedestrian Detection in a Crowd—0
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation—0
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement—0
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All datasetsCaltechCityPersonsLLVIPDVTODTJU-Ped-trafficTJU-Ped-campusCVC14Caltech Pedestrian DatasetMMPD-Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UniHCP (FT)Heavy MR^-227.2—Unverified
2LDCFReasonable Miss Rate24.8—Unverified
3AlexNetReasonable Miss Rate23.3—Unverified
4TA-CNNReasonable Miss Rate20.9—Unverified
5Checkerboards+Reasonable Miss Rate17.1—Unverified
6NNNFReasonable Miss Rate16.2—Unverified
7Part-level CNN + saliency and bounding box alignmentReasonable Miss Rate12.4—Unverified
8CompACT-DeepReasonable Miss Rate11.75—Unverified
9MCFReasonable Miss Rate10.4—Unverified
10MS-CNNReasonable Miss Rate9.95—Unverified
#ModelMetricClaimedVerifiedStatus
1ACSP + EuroCity PersonsHeavy MR^-242.5—Unverified
2TLLReasonable MR^-215.5—Unverified
3FRCNNReasonable MR^-215.4—Unverified
4FRCNN+SegReasonable MR^-214.8—Unverified
5TLL+MRFReasonable MR^-214.4—Unverified
6RepLossReasonable MR^-213.2—Unverified
7OR-CNNReasonable MR^-212.8—Unverified
8ALFNetReasonable MR^-212—Unverified
9CSP (with offset) + ResNet-50Reasonable MR^-211—Unverified
10NOH-NMSReasonable MR^-210.8—Unverified
#ModelMetricClaimedVerifiedStatus
1INSANetlog average miss rate4.43—Unverified
2MMPedestronAP0.73—Unverified
3CAFF-DINOAP0.69—Unverified
4CFTAP0.64—Unverified
5UniRGB-IRAP0.63—Unverified
6RSDetAP0.61—Unverified
7CMXAP0.6—Unverified
8CSSAAP0.59—Unverified
9GAFFAP0.56—Unverified
10Halfway FusionAP0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1YOLOv6 (Thermal) mAP84.4—Unverified
2YOLOv3 (Thermal) mAP82.7—Unverified
3CFT mAP82.7—Unverified
4CMX mAP81.6—Unverified
5YOLOv7 (Thermal)mAP77.8—Unverified
6YOLOv6 (Visible) mAP38.1—Unverified
7YOLOv7 (Visible)mAP35.3—Unverified
8YOLOv3 (Visible) mAP34.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FCOSR (miss rate)24.35—Unverified
2RetinaNetR (miss rate)23.89—Unverified
3FPNR (miss rate)22.3—Unverified
4CrowdDetR (miss rate)20.82—Unverified
5EGCLR (miss rate)19.73—Unverified
6LSFMR (miss rate)18.7—Unverified
#ModelMetricClaimedVerifiedStatus
1RetinaNetR (miss rate)34.73—Unverified
2FCOSR (miss rate)31.89—Unverified
3CrowdDetR (miss rate)25.73—Unverified
4EGCLR (miss rate)24.84—Unverified
#ModelMetricClaimedVerifiedStatus
1CFTAP5078.2—Unverified
2CMXAP5068.9—Unverified
#ModelMetricClaimedVerifiedStatus
1LSFMMR0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1MMPedestronbox mAP79—Unverified