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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 151–200 of 259 papers

TitleStatusHype
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsCode2
USB: Universal-Scale Object Detection Benchmark—0
Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic GraspingCode1
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesCode1
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object DetectionCode1
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
Scaled-YOLOv4: Scaling Cross Stage Partial NetworkCode1
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningCode1
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
Deformable DETR: Deformable Transformers for End-to-End Object DetectionCode3
Artificial Intelligence Enabled Traffic Monitoring System—0
Robust and Efficient Post-Processing for Video Object Detection (REPP)Code1
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-DesignCode1
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
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged NetworksCode1
Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic CamerasCode0
Understanding Object Detection Through An Adversarial LensCode1
End-to-End Object Detection with TransformersCode1
Towards Streaming PerceptionCode1
Automated detection of COVID-19 cases using deep neural networks with X-ray imagesCode1
YOLOv4: Optimal Speed and Accuracy of Object DetectionCode3
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection SystemsCode1
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
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageCode0
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification—0
EfficientDet: Scalable and Efficient Object DetectionCode3
CenterMask : Real-Time Anchor-Free Instance SegmentationCode1
A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking—0
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware—0
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting—0
Role of Spatial Context in Adversarial Robustness for Object DetectionCode0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
HarDNet: A Low Memory Traffic NetworkCode1
Training-Time-Friendly Network for Real-Time Object DetectionCode0
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV ApplicationsCode0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
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