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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 126–150 of 259 papers

TitleStatusHype
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Prototipo de un Contador Bidireccional Automático de Personas basado en sensores de visión 3D—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer—0
Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute SystemsCode0
Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm SurveillanceCode0
Real-time Traffic Object Detection for Autonomous Driving—0
Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach—0
Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion—0
Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning—0
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge—0
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
Liquid Leak Detection Using Thermal Images—0
Object-centric Cross-modal Feature Distillation for Event-based Object Detection—0
DEYOv3: DETR with YOLO for Real-time Object DetectionCode0
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismCode0
Real-Time Object Detection on High-Voltage Powerlines Using an Unmanned Aerial Vehicle (UAV)Code0
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation—0
Q-YOLO: Efficient Inference for Real-time Object Detection—0
Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8—0
Real-time Object Detection: YOLOv1 Re-Implementation in PyTorch—0
Computer Vision for Construction Progress Monitoring: A Real-Time Object Detection Approach—0
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers—0
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