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Pedestrian Detection
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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.
<span style="color:grey; opacity: 0.6">( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras
Attention-Aware Multi-View Pedestrian Tracking
Panoramic Distortion-Aware Tokenization for Person Detection and Localization Using Transformers in Overhead Fisheye Images
Enhanced Multi-View Pedestrian Detection Using Probabilistic Occupancy Volume
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments
PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection
A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions
Multispectral Pedestrian Detection with Sparsely Annotated Label
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection
Revisiting Misalignment in Multispectral Pedestrian Detection: A Language-Driven Approach for Cross-modal Alignment Fusion
Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions
GSON: A Group-based Social Navigation Framework with Large Multimodal Model
Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach
MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion
Mean Height Aided Post-Processing for Pedestrian Detection
Video-to-Text Pedestrian Monitoring (VTPM): Leveraging Computer Vision and Large Language Models for Privacy-Preserve Pedestrian Activity Monitoring at Intersections
A lightweight YOLOv5-FFM model for occlusion pedestrian detection
Toward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network
Nighttime Pedestrian Detection Based on Fore-Background Contrast Learning
MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection
The Research of Group Re-identification from Multiple Cameras
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks
Research, Applications and Prospects of Event-Based Pedestrian Detection: A Survey
Optimizing the image correction pipeline for pedestrian detection in the thermal-infrared domain
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors
A PST Algorithm for FPs Suppression in Two-stage CNN Detection Methods
Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors
AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection
Infrared Adversarial Car Stickers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.