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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 1–25 of 127 papers

TitleStatusHype
Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign RecognitionCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Robust Transformer with Locality Inductive Bias and Feature NormalizationCode1
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural PhenomenonCode1
GLARE: A Dataset for Traffic Sign Detection in Sun GlareCode1
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning MonitoringCode1
Adversarial Sticker: A Stealthy Attack Method in the Physical WorldCode1
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksCode1
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial PerturbationsCode1
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
A real-time and high-precision method for small traffic-signs recognitionCode1
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial DefenseCode1
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
A novel pLSA based Traffic Signs Classification System—0
Adversarial Robustness Through Artifact Design—0
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets—0
An Acceleration Method Based on Deep Learning and Multilinear Feature Space—0
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle—0
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning—0
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks—0
A Low-cost and Ultra-lightweight Binary Neural Network for Traffic Signal Recognition—0
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