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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 201–250 of 259 papers

TitleStatusHype
YOLOv12: A Breakdown of the Key Architectural Features—0
YOLOv1 to YOLOv10: The fastest and most accurate real-time object detection systems—0
YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)—0
YOLOv4: A Breakthrough in Real-Time Object Detection—0
YotoR-You Only Transform One Representation—0
Pelee: A Real-Time Object Detection System on Mobile DevicesCode0
YOLOv11: An Overview of the Key Architectural EnhancementsCode0
An Aerial Weed Detection System for Green Onion Crops Using the You Only Look Once (YOLOv3) Deep Learning AlgorithmCode0
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object DetectionCode0
Parallel Detection for Efficient Video Analytics at the EdgeCode0
Network transferability of adversarial patches in real-time object detectionCode0
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object DetectionCode0
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageCode0
Looking Fast and Slow: Memory-Guided Mobile Video Object DetectionCode0
Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic CamerasCode0
Training-Time-Friendly Network for Real-Time Object DetectionCode0
DEYOv3: DETR with YOLO for Real-time Object DetectionCode0
Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic SimulationCode0
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismCode0
USB: Universal-Scale Object Detection BenchmarkCode0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point CloudsCode0
Visual Mesh: Real-time Object Detection Using Constant Sample DensityCode0
CornerNet-Lite: Efficient Keypoint Based Object DetectionCode0
DeNet: Scalable Real-time Object Detection with Directed Sparse SamplingCode0
Real Time Object Detection System with YOLO and CNN Models: A ReviewCode0
Role of Spatial Context in Adversarial Robustness for Object DetectionCode0
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve DetectionCode0
Real-Time Object Detection on High-Voltage Powerlines Using an Unmanned Aerial Vehicle (UAV)Code0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in VideoCode0
Real-time object detection method based on improved YOLOv4-tinyCode0
Receptive Field Block Net for Accurate and Fast Object DetectionCode0
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an exampleCode0
Relief R-CNN : Utilizing Convolutional Features for Fast Object DetectionCode0
Replication Study and Benchmarking of Real-Time Object Detection ModelsCode0
Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute SystemsCode0
R-FCN: Object Detection via Region-based Fully Convolutional NetworksCode0
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
PVANet: Lightweight Deep Neural Networks for Real-time Object DetectionCode0
PVANET: Deep but Lightweight Neural Networks for Real-time Object DetectionCode0
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous DrivingCode0
BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection EvaluationCode0
PP-YOLOv2: A Practical Object DetectorCode0
Fast object detection in compressed JPEG ImagesCode0
Fast and accurate object detection in high resolution 4K and 8K video using GPUsCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Performance Evaluation of Real-Time Object Detection for Electric ScootersCode0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsCode0
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object DetectionCode0
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