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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
YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective—0
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS—0
Real-time SLAM Pipeline in Dynamics Environment—0
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning—0
Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic SimulationCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation—0
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy—0
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis—0
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications—0
YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)—0
FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications—0
Image Models for large-scale Object Detection and Classification—0
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey—0
Real Time Object Detection System with YOLO and CNN Models: A ReviewCode0
StreamYOLO: Real-time Object Detection for Streaming Perception—0
YOLOSA: Object detection based on 2D local feature superimposed self-attentionCode0
0/1 Deep Neural Networks via Block Coordinate Descent—0
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving—0
Small Object Detection using Deep Learning—0
Speed Up Object Detection on Gigapixel-Level Images With Patch Arrangement—0
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster—0
Factorial Convolution Neural Networks—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
Parallel Detection for Efficient Video Analytics at the EdgeCode0
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets—0
Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve DetectionCode0
PP-YOLOv2: A Practical Object Detector—0
USB: Universal-Scale Object Detection Benchmark—0
Screening COVID-19 cases using Deep Neural Networks with X-ray images—0
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19—0
Modality-Buffet for Real-Time Object Detection—0
Real-time object detection method based on improved YOLOv4-tinyCode0
Fast Object Detection with Latticed Multi-Scale Feature Fusion—0
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous DrivingCode0
Artificial Intelligence Enabled Traffic Monitoring System—0
Globally-scalable Automated Target Recognition (GATR)—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Object Detection in the Context of Mobile Augmented Reality—0
Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic CamerasCode0
Real Time Multi-Class Object Detection and Recognition Using Vision Augmentation Algorithm—0
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance—0
Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning—0
An Aerial Weed Detection System for Green Onion Crops Using the You Only Look Once (YOLOv3) Deep Learning Algorithm—0
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware—0
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data—0
SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationCode0
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