SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 127 papers

TitleStatusHype
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksCode1
A real-time and high-precision method for small traffic-signs recognitionCode1
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural PhenomenonCode1
Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign RecognitionCode1
Adversarial Sticker: A Stealthy Attack Method in the Physical WorldCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Robust Transformer with Locality Inductive Bias and Feature NormalizationCode1
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial DefenseCode1
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous drivingCode1
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial PerturbationsCode1
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning MonitoringCode1
GLARE: A Dataset for Traffic Sign Detection in Sun GlareCode1
DARTS: Deceiving Autonomous Cars with Toxic SignsCode0
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign RecognitionCode0
Adversarial Robustness Certification for Bayesian Neural NetworksCode0
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNsCode0
Traffic Sign Classification Using Deep Inception Based Convolutional NetworksCode0
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign RecognitionCode0
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral CharacteristicsCode0
Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard BaselinesCode0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
Traffic Sign Recognition Dataset and Data AugmentationCode0
Novel Deep Learning Model for Traffic Sign Detection Using Capsule NetworksCode0
NetTailor: Tuning the Architecture, Not Just the WeightsCode0
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and LogosCode0
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign RecognitionCode0
Towards Context-Agnostic Learning Using Synthetic DataCode0
Architecturing Binarized Neural Networks for Traffic Sign RecognitionCode0
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light DetectionCode0
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural NetworksCode0
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methodsCode0
Deep Learning for Large-Scale Traffic-Sign Detection and RecognitionCode0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Improving traffic sign recognition by active searchCode0
Metric Learning for Novelty and Anomaly DetectionCode0
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign ClassificationCode0
Multi-column Deep Neural Networks for Image ClassificationCode0
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural NetworksCode0
RED-Attack: Resource Efficient Decision based Attack for Machine LearningCode0
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition—0
A novel pLSA based Traffic Signs Classification System—0
Adversarial Robustness Through Artifact Design—0
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition—0
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.