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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 51–100 of 259 papers

TitleStatusHype
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
Optimizing Edge Offloading Decisions for Object DetectionCode1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksCode1
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-DesignCode1
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUsCode1
YOLOv3: An Incremental ImprovementCode1
You Only Look Once: Unified, Real-Time Object DetectionCode1
MnasNet: Platform-Aware Neural Architecture Search for MobileCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
Mask R-CNNCode1
BED: A Real-Time Object Detection System for Edge DevicesCode1
Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion DetectionCode1
Towards Light-weight and Real-time Line Segment DetectionCode1
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection SystemsCode1
Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and MethodCode1
Towards Streaming PerceptionCode1
HIC-YOLOv5: Improved YOLOv5 For Small Object DetectionCode1
DPNet: Dual-Path Network for Real-time Object Detection with Lightweight AttentionCode1
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and VideosCode1
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor DetectionCode1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
HarDNet: A Low Memory Traffic NetworkCode1
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLOCode1
End-to-End Object Detection with TransformersCode1
YOLO9000: Better, Faster, StrongerCode1
Understanding Object Detection Through An Adversarial LensCode1
CBNet: A Composite Backbone Network Architecture for Object DetectionCode1
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
YUDO: YOLO for Uniform Directed Object DetectionCode1
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object DetectionCode0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsCode0
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous DrivingCode0
SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationCode0
DeNet: Scalable Real-time Object Detection with Directed Sparse SamplingCode0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous DrivingCode0
Receptive Field Block Net for Accurate and Fast Object DetectionCode0
Relief R-CNN : Utilizing Convolutional Features for Fast Object DetectionCode0
Replication Study and Benchmarking of Real-Time Object Detection ModelsCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismCode0
Real-time object detection method based on improved YOLOv4-tinyCode0
Real-Time Object Detection on High-Voltage Powerlines Using an Unmanned Aerial Vehicle (UAV)Code0
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an exampleCode0
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
Real Time Object Detection System with YOLO and CNN Models: A ReviewCode0
R-FCN: Object Detection via Region-based Fully Convolutional NetworksCode0
Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute SystemsCode0
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