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 101150 of 438 papers

TitleStatusHype
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person SearchCode0
Deep convolutional neural networks for pedestrian detectionCode0
Count- and Similarity-aware R-CNN for Pedestrian DetectionCode0
Pedestrian Detection in Thermal Images using Saliency MapsCode0
Convolutional Channel FeaturesCode0
Generalizable Pedestrian Detection: The Elephant In The RoomCode0
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured EnvironmentsCode0
Continual Learning for Out-of-Distribution Pedestrian DetectionCode0
Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box AlignmentCode0
Object Detection in 20 Years: A SurveyCode0
Active Learning for Deep Detection Neural NetworksCode0
PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian DetectionCode0
Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian DetectionCode0
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian DetectionCode0
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data AnalysisCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Multispectral Pedestrian Detection via Simultaneous Detection and SegmentationCode0
Mask-Guided Attention Network for Occluded Pedestrian DetectionCode0
Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared ImagesCode0
Learning Scene-Pedestrian Graph for End to end Person SearchCode0
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization FittingCode0
Learning to Separate: Detecting Heavily-Occluded Objects in Urban ScenesCode0
Input Dropout for Spatially Aligned ModalitiesCode0
Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian DetectionCode0
Improved Instance Discrimination and Feature Compactness for End-to-End Person SearchCode0
Illuminating Pedestrians via Simultaneous Detection & SegmentationCode0
Joint Detection and Identification Feature Learning for Person SearchCode0
High-Level Semantic Feature Detection: A New Perspective for Pedestrian DetectionCode0
CADP: A Novel Dataset for CCTV Traffic Camera based Accident AnalysisCode0
Generative Modeling for Small-Data Object DetectionCode0
Embracing Single Stride 3D Object Detector with Sparse TransformerCode0
Gliding vertex on the horizontal bounding box for multi-oriented object detectionCode0
Learning Cross-Modal Deep Representations for Robust Pedestrian DetectionCode0
Efficient pedestrian detection by directly optimize the partial area under the ROC curve0
Efficient Learning of Pinball TWSVM using Privileged Information and its applications0
Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection0
Efficient and Robust Pedestrian Detection using Deep Learning for Human-Aware Navigation0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection0
An Objective Method for Pedestrian Occlusion Level Classification0
EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors0
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications0
DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search0
Boosting-like Deep Learning For Pedestrian Detection0
An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles0
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach0
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras0
Discriminative Feature Transformation for Occluded Pedestrian Detection0
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention0
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection0
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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