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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 201–225 of 259 papers

TitleStatusHype
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input ImageCode0
Deriving star cluster parameters with convolutional neural networks. II. Extinction and cluster/background classification—0
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
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
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods—0
DiCENet: Dimension-wise Convolutions for Efficient NetworksCode0
Efficient Object Detection Model for Real-Time UAV Applications—0
Object Detection in Specific Traffic Scenes using YOLOv2—0
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection—0
CornerNet-Lite: Efficient Keypoint Based Object DetectionCode0
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object DetectionCode0
Fast object detection in compressed JPEG ImagesCode0
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds—0
Looking Fast and Slow: Memory-Guided Mobile Video Object DetectionCode0
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection—0
Pelee: A Real-Time Object Detection System on Mobile DevicesCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Fast Object Detection in Compressed Video—0
A Convolutional Neural Network based Live Object Recognition System as Blind Aid—0
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