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 51–100 of 438 papers

TitleStatusHype
Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face DetectionCode1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Cross-Modality Fusion Transformer for Multispectral Object DetectionCode1
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian DetectionCode1
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object DetectionCode1
BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online PoliciesCode1
Body-Face Joint Detection via Embedding and Head HookCode1
NOH-NMS: Improving Pedestrian Detection by Nearby Objects HallucinationCode1
MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced OptimizationCode1
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across EnvironmentsCode1
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian DetectionCode1
FCOS: Fully Convolutional One-Stage Object DetectionCode1
From Handcrafted to Deep Features for Pedestrian Detection: A SurveyCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
Domain Adaptive Person SearchCode1
Exploring Visual Context for Weakly Supervised Person SearchCode1
CARLA-BSP: a simulated dataset with pedestriansCode1
Bringing Generalization to Deep Multi-View Pedestrian DetectionCode1
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian DetectionCode1
DDAM-PS: Diligent Domain Adaptive Mixer for Person SearchCode1
Guided Attentive Feature Fusion for Multispectral Pedestrian DetectionCode1
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged InformationCode1
Graph Neural Networks for Cross-Camera Data AssociationCode1
MLPD: Multi-Label Pedestrian Detector in Multispectral DomainCode1
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-SupervisionCode1
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection—0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
An Objective Method for Pedestrian Occlusion Level Classification—0
Boosting-like Deep Learning For Pedestrian Detection—0
An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles—0
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach—0
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention—0
Adaptive NMS: Refining Pedestrian Detection in a Crowd—0
Birds Eye View Social Distancing Analysis System—0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians—0
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks—0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras—0
Bi-box Regression for Pedestrian Detection and Occlusion Estimation—0
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models—0
An Efficient Edge Detection Approach to Provide Better Edge Connectivity for Image Analysis—0
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective—0
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds—0
Benchmarking person re-identification approaches and training datasets for practical real-world implementations—0
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis—0
6G Integrated Sensing and Communication: From Vision to Realization—0
Data Augmentation in Human-Centric Vision—0
Basis Mapping Based Boosting for Object Detection—0
BAANet: Learning Bi-directional Adaptive Attention Gates for Multispectral Pedestrian Detection—0
Adaptive Algorithm and Platform Selection for Visual Detection and Tracking—0
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection—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
2CFT mAP82.7—Unverified
3YOLOv3 (Thermal) 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