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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
Asymmetric Pruning for Learning Cascade Detectors—0
ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge—0
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance—0
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis—0
A Vision-Enabled Prosthetic Hand for Children with Upper Limb Disabilities—0
BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation—0
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge—0
CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection—0
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
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Globally-scalable Automated Target Recognition (GATR)—0
HGO-YOLO: Advancing Anomaly Behavior Detection with Hierarchical Features and Lightweight Optimized Detection—0
Highly Scalable, Parallel and Distributed AdaBoost Algorithm using Light Weight Threads and Web Services on a Network of Multi-Core Machines—0
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Image Models for large-scale Object Detection and Classification—0
Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules—0
Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation—0
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19—0
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices—0
Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving—0
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods—0
Lightweight Object Detection: A Study Based on YOLOv7 Integrated with ShuffleNetv2 and Vision Transformer—0
Liquid Leak Detection Using Thermal Images—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
Modality-Buffet for Real-Time Object Detection—0
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