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 151–200 of 438 papers

TitleStatusHype
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object DetectionCode0
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
F2DNet: Fast Focal Detection Network for Pedestrian DetectionCode2
A-Eye: Driving with the Eyes of AI for Corner Case Generation—0
End-to-end Person Search Sequentially Trained on Aggregated Dataset—0
Graph Neural Networks for Cross-Camera Data AssociationCode1
Pedestrian Detection: Domain Generalization, CNNs, Transformers and BeyondCode2
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models—0
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar NetworkCode1
Birds Eye View Social Distancing Analysis System—0
Embracing Single Stride 3D Object Detector with Sparse TransformerCode0
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection—0
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection—0
Pedestrian Detection by Exemplar-Guided Contrastive Learning—0
Cross-Modality Fusion Transformer for Multispectral Object DetectionCode1
Benchmarking person re-identification approaches and training datasets for practical real-world implementations—0
Bringing Generalization to Deep Multi-View Pedestrian DetectionCode1
LGD: Label-guided Self-distillation for Object DetectionCode1
Traffic-Net: 3D Traffic Monitoring Using a Single Camera—0
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Global-Local Dynamic Feature Alignment Network for Person Re-Identification—0
A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data—0
LLVIP: A Visible-infrared Paired Dataset for Low-light VisionCode1
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?Code1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains—0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
MLPD: Multi-Label Pedestrian Detector in Multispectral DomainCode1
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU—0
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations—0
Efficient Learning of Pinball TWSVM using Privileged Information and its applications—0
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels—0
Exploring Visual Context for Weakly Supervised Person SearchCode1
NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian DetectionCode1
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving—0
Improved Instance Discrimination and Feature Compactness for End-to-End Person SearchCode0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning—0
Verification of Size Invariance in DNN Activations using Concept Embeddings—0
Stable and Effective One-Step Method for Person Search—0
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks—0
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection—0
Variational Pedestrian Detection—0
Computer vision in automated parking systems: Design, implementation and challenges—0
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain TransferCode1
Generalizable Multi-Camera 3D Pedestrian Detection—0
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection—0
Multimodal Object Detection via Probabilistic EnsemblingCode1
Anchor-Free Person SearchCode1
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection—0
Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet—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