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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 226–250 of 259 papers

TitleStatusHype
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
USB: Universal-Scale Object Detection Benchmark—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
Wide-Residual-Inception Networks for Real-time Object Detection—0
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems—0
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