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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
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and VideosCode1
YOLOv3: An Incremental ImprovementCode1
Mask R-CNNCode1
YOLO9000: Better, Faster, StrongerCode1
You Only Look Once: Unified, Real-Time Object DetectionCode1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksCode1
Detection of Rail Line Track and Human Beings Near the Track to Avoid Accidents—0
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection—0
WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras—0
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems—0
CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection—0
A Decade of You Only Look Once (YOLO) for Object Detection—0
A Vision-Enabled Prosthetic Hand for Children with Upper Limb Disabilities—0
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions—0
ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge—0
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
HGO-YOLO: Advancing Anomaly Behavior Detection with Hierarchical Features and Lightweight Optimized Detection—0
2D Object Detection: A Survey—0
YOLOv12: A Breakdown of the Key Architectural Features—0
YOLOv4: A Breakthrough in Real-Time Object Detection—0
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms—0
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection—0
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection—0
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