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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 101–127 of 127 papers

TitleStatusHype
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral CharacteristicsCode0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
DARTS: Deceiving Autonomous Cars with Toxic SignsCode0
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign RecognitionCode0
Improving traffic sign recognition by active searchCode0
Architecturing Binarized Neural Networks for Traffic Sign RecognitionCode0
RED-Attack: Resource Efficient Decision based Attack for Machine LearningCode0
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light DetectionCode0
Traffic Sign Recognition Dataset and Data AugmentationCode0
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign RecognitionCode0
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard BaselinesCode0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without SupervisionCode0
Towards Context-Agnostic Learning Using Synthetic DataCode0
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural NetworksCode0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methodsCode0
Metric Learning for Novelty and Anomaly DetectionCode0
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign ClassificationCode0
Adversarial Robustness Certification for Bayesian Neural NetworksCode0
Multi-column Deep Neural Networks for Image ClassificationCode0
Deep Learning for Large-Scale Traffic-Sign Detection and RecognitionCode0
NetTailor: Tuning the Architecture, Not Just the WeightsCode0
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and LogosCode0
Novel Deep Learning Model for Traffic Sign Detection Using Capsule NetworksCode0
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign RecognitionCode0
Traffic Sign Classification Using Deep Inception Based Convolutional NetworksCode0
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNsCode0
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