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Real-Time Object Detection

Real-Time Object Detection is a computer vision task that involves identifying and locating objects of interest in real-time video sequences with fast inference while maintaining a base level of accuracy.

This is typically solved using algorithms that combine object detection and tracking techniques to accurately detect and track objects in real-time. They use a combination of feature extraction, object proposal generation, and classification to detect and localize objects of interest.

( Image credit: CenterNet )

Papers

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Showing 1–50 of 259 papers

TitleStatusHype
Detection of Rail Line Track and Human Beings Near the Track to Avoid Accidents—0
YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual PerceptionCode5
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection—0
WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems—0
CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection—0
A Decade of You Only Look Once (YOLO) for Object Detection—0
A Vision-Enabled Prosthetic Hand for Children with Upper Limb Disabilities—0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge—0
RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature LearningCode1
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
HGO-YOLO: Advancing Anomaly Behavior Detection with Hierarchical Features and Lightweight Optimized Detection—0
2D Object Detection: A Survey—0
YOLOv12: A Breakdown of the Key Architectural Features—0
YOLOv4: A Breakthrough in Real-Time Object Detection—0
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms—0
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection—0
YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-IDCode2
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection—0
CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection—0
Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)—0
DEIM: DETR with Improved Matching for Fast ConvergenceCode5
Optimizing Edge Offloading Decisions for Object DetectionCode1
YOLOv11: An Overview of the Key Architectural EnhancementsCode0
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving—0
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution RefinementCode7
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Fast Object Detection with a Machine Learning Edge Device—0
What is YOLOv9: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector—0
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception—0
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an exampleCode0
Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach—0
DS MYOLO: A Reliable Object Detector Based on SSMs for Driving Scenarios—0
Network transferability of adversarial patches in real-time object detectionCode0
YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
Octave-YOLO: Cross frequency detection network with octave convolution—0
DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model TrainingCode1
Quantizing YOLOv7: A Comprehensive Study—0
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detectionCode2
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series—0
Real-Time Automated donning and doffing detection of PPE based on Yolov4-tiny—0
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving—0
Real-time object detection and tracking using flash LiDAR imagery—0
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
LW-DETR: A Transformer Replacement to YOLO for Real-Time DetectionCode9
Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments—0
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