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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 26–50 of 259 papers

TitleStatusHype
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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