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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 51–75 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
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