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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
Fast Object Detection in Compressed Video—0
Fast Object Detection with a Machine Learning Edge Device—0
Fast Object Detection with Entropy-Driven Evaluation—0
Fast Object Detection with Latticed Multi-Scale Feature Fusion—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria—0
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds—0
Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Globally-scalable Automated Target Recognition (GATR)—0
HGO-YOLO: Advancing Anomaly Behavior Detection with Hierarchical Features and Lightweight Optimized Detection—0
Highly Scalable, Parallel and Distributed AdaBoost Algorithm using Light Weight Threads and Web Services on a Network of Multi-Core Machines—0
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Image Models for large-scale Object Detection and Classification—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation—0
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19—0
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods—0
Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer—0
Liquid Leak Detection Using Thermal Images—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
Modality-Buffet for Real-Time Object Detection—0
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