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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 151–200 of 259 papers

TitleStatusHype
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods—0
Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer—0
Liquid Leak Detection Using Thermal Images—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
Modality-Buffet for Real-Time Object Detection—0
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster—0
Object-centric Cross-modal Feature Distillation for Event-based Object Detection—0
Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors—0
Object detection and tracking benchmark in industry based on improved correlation filter—0
Object Detection in Specific Traffic Scenes using YOLOv2—0
Object Detection in the Context of Mobile Augmented Reality—0
Octave-YOLO: Cross frequency detection network with octave convolution—0
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing—0
PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems—0
Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments—0
Prototipo de un Contador Bidireccional Automático de Personas basado en sensores de visión 3D—0
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving—0
Quantizing YOLOv7: A Comprehensive Study—0
Q-YOLO: Efficient Inference for Real-time Object Detection—0
Real-time Object Detection: YOLOv1 Re-Implementation in PyTorch—0
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8—0
Real-time SLAM Pipeline in Dynamics Environment—0
Real-time Traffic Object Detection for Autonomous Driving—0
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection—0
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy—0
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning—0
Screening COVID-19 cases using Deep Neural Networks with X-ray images—0
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications—0
ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery—0
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving—0
Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion—0
Small Object Detection using Deep Learning—0
Speed Up Object Detection on Gigapixel-Level Images With Patch Arrangement—0
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving—0
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection—0
StreamYOLO: Real-time Object Detection for Streaming Perception—0
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection—0
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers—0
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception—0
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks—0
Voting for Voting in Online Point Cloud Object Detection—0
WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras—0
What is YOLOv9: An In-Depth Exploration of the Internal Features of the Next-Generation Object Detector—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems—0
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware—0
Yes-Net: An effective Detector Based on Global Information—0
YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective—0
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series—0
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