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Traffic Sign Recognition

Traffic sign recognition is the task of recognising traffic signs in an image or video.

( Image credit: Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks )

Papers

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Showing 26–50 of 127 papers

TitleStatusHype
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition—0
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective—0
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks—0
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition—0
Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity—0
Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers—0
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network—0
Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks—0
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle—0
Adversarial Robustness Through Artifact Design—0
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Traffic Sign Recognition Using Local Vision Transformer—0
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood—0
A Deeply Supervised Semantic Segmentation Method Based on GAN—0
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign RecognitionCode1
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Adversarial Robustness Certification for Bayesian Neural NetworksCode0
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning—0
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model—0
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
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