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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 101–150 of 259 papers

TitleStatusHype
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageCode0
R-FCN: Object Detection via Region-based Fully Convolutional NetworksCode0
Role of Spatial Context in Adversarial Robustness for Object DetectionCode0
CornerNet-Lite: Efficient Keypoint Based Object DetectionCode0
Performance Evaluation of Real-Time Object Detection for Electric ScootersCode0
Replication Study and Benchmarking of Real-Time Object Detection ModelsCode0
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous DrivingCode0
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismCode0
Pelee: A Real-Time Object Detection System on Mobile DevicesCode0
Pelee: A Real-Time Object Detection System on Mobile DevicesCode0
Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic SimulationCode0
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU ComputersCode0
Relief R-CNN : Utilizing Convolutional Features for Fast Object DetectionCode0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsCode0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
Receptive Field Block Net for Accurate and Fast Object DetectionCode0
Real Time Object Detection System with YOLO and CNN Models: A ReviewCode0
DeNet: Scalable Real-time Object Detection with Directed Sparse SamplingCode0
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve DetectionCode0
Parallel Detection for Efficient Video Analytics at the EdgeCode0
SpineNet: Learning Scale-Permuted Backbone for Recognition and LocalizationCode0
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous DrivingCode0
YOLOSA: Object detection based on 2D local feature superimposed self-attentionCode0
Real-Time Object Detection on High-Voltage Powerlines Using an Unmanned Aerial Vehicle (UAV)Code0
Real-time object detection method based on improved YOLOv4-tinyCode0
DaDe: Delay-adaptive Detector for Streaming PerceptionCode0
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in VideoCode0
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object DetectionCode0
PVANet: Lightweight Deep Neural Networks for Real-time Object DetectionCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach—0
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection—0
Efficient Object Detection Model for Real-Time UAV Applications—0
A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking—0
2D Object Detection: A Survey—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
A 58.6mW Real-Time Programmable Object Detector with Multi-Scale Multi-Object Support Using Deformable Parts Model on 1920x1080 Video at 30fps—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS—0
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey—0
A Convolutional Neural Network based Live Object Recognition System as Blind Aid—0
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms—0
A Decade of You Only Look Once (YOLO) for Object Detection—0
A Fast HOG Descriptor Using Lookup Table and Integral Image—0
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design—0
An Aerial Weed Detection System for Green Onion Crops Using the You Only Look Once (YOLOv3) Deep Learning Algorithm—0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
Artificial Intelligence Enabled Traffic Monitoring System—0
ARTOS -- Adaptive Real-Time Object Detection System—0
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets—0
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