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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 51–100 of 127 papers

TitleStatusHype
Evil from Within: Machine Learning Backdoors through Hardware Trojans—0
Traffic Sign Recognition Dataset and Data AugmentationCode0
Architecturing Binarized Neural Networks for Traffic Sign RecognitionCode0
Towards Audit Requirements for AI-based Systems in Mobility Applications—0
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study—0
Robust Transformer with Locality Inductive Bias and Feature NormalizationCode1
M3E-Yolo: A New Lightweight Network for Traffic Sign Recognition—0
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksCode1
Traffic Sign Classification Using Deep and Quantum Neural Networks—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
GLARE: A Dataset for Traffic Sign Detection in Sun GlareCode1
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning MonitoringCode1
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition—0
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation—0
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge—0
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural PhenomenonCode1
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without SupervisionCode0
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems—0
Improving traffic sign recognition by active searchCode0
NTD: Non-Transferability Enabled Backdoor Detection—0
An Acceleration Method Based on Deep Learning and Multilinear Feature Space—0
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning—0
Improving Prediction Confidence in Learning-Enabled Autonomous Systems—0
A real-time and high-precision method for small traffic-signs recognitionCode1
Robustness testing of AI systems: A case study for traffic sign recognition—0
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Adversarial Sticker: A Stealthy Attack Method in the Physical WorldCode1
Differentiable Patch Selection for Image Recognition—0
MISA: Online Defense of Trojaned Models using Misattributions—0
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Road images augmentation with synthetic traffic signs using neural networks—0
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks—0
Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture—0
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign RecognitionCode0
Visualizing Color-wise Saliency of Black-Box Image Classification Models—0
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial PerturbationsCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Towards Context-Agnostic Learning Using Synthetic DataCode0
Applying the Decisiveness and Robustness Metrics to Convolutional Neural Networks—0
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components—0
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations—0
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix—0
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral CharacteristicsCode0
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition—0
Fooling a Real Car with Adversarial Traffic Signs—0
NetTailor: Tuning the Architecture, Not Just the WeightsCode0
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNsCode0
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks—0
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