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
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection—0
Detector With Focus: Normalizing Gradient In Image Pyramid—0
Birds Eye View Social Distancing Analysis System—0
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians—0
Adaptive NMS: Refining Pedestrian Detection in a Crowd—0
DeepSetNet: Predicting Sets with Deep Neural Networks—0
Bi-box Regression for Pedestrian Detection and Occlusion Estimation—0
Deep Multi-Task Networks For Occluded Pedestrian Pose 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
Deep Learning Strong Parts for Pedestrian Detection—0
Deep Learning based Pedestrian Detection at Distance in Smart Cities—0
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective—0
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds—0
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis—0
Benchmarking person re-identification approaches and training datasets for practical real-world implementations—0
Infrared Adversarial Car Stickers—0
Informed Haar-like Features Improve Pedestrian Detection—0
Data Augmentation in Human-Centric Vision—0
Increasing pedestrian detection performance through weighting of detection impairing factors—0
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors—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
6G Integrated Sensing and Communication: From Vision to Realization—0
Impact of Power Supply Noise on Image Sensor Performance in Automotive Applications—0
Image Segmentation Algorithms Overview—0
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection—0
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection—0
Hybrid Channel Based Pedestrian Detection—0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
Automatic Dataset Augmentation Using Virtual Human Simulation—0
Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions—0
Human Extraction and Scene Transition utilizing Mask R-CNN—0
Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling—0
Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection—0
How Far are We from Solving Pedestrian Detection?—0
Imagine the Unseen: Occluded Pedestrian Detection via Adversarial Feature Completion—0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection—0
Attention-Aware Multi-View Pedestrian Tracking—0
A Method for Crash Prediction and Avoidance Using Hidden Markov Models—0
GSON: A Group-based Social Navigation Framework with Large Multimodal Model—0
Context-Sensitive Decision Forests for Object Detection—0
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions—0
Graininess-Aware Deep Feature Learning for Pedestrian Detection—0
Gradient-based Feature Extraction From Raw Bayer Pattern Images—0
Infrared image pedestrian target detection based on Yolov3 and migration learning—0
Constraint-Aware Deep Neural Network Compression—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—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