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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 176–200 of 259 papers

TitleStatusHype
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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