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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
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
Computer Vision for Construction Progress Monitoring: A Real-Time Object Detection Approach—0
CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection—0
Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL—0
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images—0
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data—0
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification—0
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting—0
Detection of Rail Line Track and Human Beings Near the Track to Avoid Accidents—0
DS MYOLO: A Reliable Object Detector Based on SSMs for Driving Scenarios—0
Dynamic Zoom-in Network for Fast Object Detection in Large Images—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)—0
Factorial Convolution Neural Networks—0
FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications—0
Fast Learning and Prediction for Object Detection using Whitened CNN Features—0
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
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