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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 76–100 of 259 papers

TitleStatusHype
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
RegionCLIP: Region-based Language-Image PretrainingCode1
Robust and Efficient Post-Processing for Video Object Detection (REPP)Code1
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLOCode1
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object DetectionCode1
Detection of Rail Line Track and Human Beings Near the Track to Avoid Accidents—0
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms—0
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting—0
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification—0
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance—0
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection—0
A Convolutional Neural Network based Live Object Recognition System as Blind Aid—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data—0
ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge—0
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images—0
Dataset and Benchmarking of Real-Time Embedded Object Detection for RoboCup SSL—0
Asymmetric Pruning for Learning Cascade Detectors—0
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets—0
ARTOS -- Adaptive Real-Time Object Detection System—0
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey—0
2D Object Detection: A Survey—0
Globally-scalable Automated Target Recognition (GATR)—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
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