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Traffic Sign Detection
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
YOLO-CCA: A Context-Based Approach for Traffic Sign Detection
YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava
FUSED-Net: Detecting Traffic Signs with Limited Data
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
YOLO-PPA based Efficient Traffic Sign Detection for Cruise Control in Autonomous Driving
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks
Learning to Defer to a Population: A Meta-Learning Approach
Efficient Vision Transformer for Accurate Traffic Sign Detection
Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach
Adversarial Attacks on Traffic Sign Recognition: A Survey
Context-Aware Block Net for Small Object Detection
M3E-Yolo: A New Lightweight Network for Traffic Sign Recognition
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context
Traffic sign detection and recognition using event camera image reconstruction
GLARE: A Dataset for Traffic Sign Detection in Sun Glare
Traffic Sign Detection With Event Cameras and DCNN
Pyramid Transformer for Traffic Sign Detection
Improved YOLOv5 network for real-time multi-scale traffic sign detection
Road images augmentation with synthetic traffic signs using neural networks
Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions
A Simple Fix for Convolutional Neural Network via Coordinate Embedding
Traffic Signs Detection and Recognition System using Deep Learning
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
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