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The German Traffic Sign Recognition Benchmark: A multi-class classification competition

https://doi.org/10.1109/ijcnn.2011.6033395

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inferred← citeshttps://doi.org/10.1007/978-981-95-9097-1_18openalex-snapshot

Indian Traffic Sign Prediction Using Improved YOLOv7 Model

inferred← citeshttps://doi.org/10.1007/978-981-96-1545-2_10openalex-snapshot

Invisible Backdoor Attack with Image Contours Triggers

inferred← citeshttps://doi.org/10.1007/978-981-96-4566-4_26openalex-snapshot

A Vehicles Scheduling Algorithm Based on Clustering Based Federated Learning

inferred← citeshttps://doi.org/10.1007/978-981-96-6954-7_28openalex-snapshot

Fijian Traffic Sign Dataset: A New Collection for Image Recognition and Benchmarking

inferred← citeshttps://doi.org/10.1007/978-981-96-9872-1_36openalex-snapshot

Ensemble Partitioning: A Defense Mechanism Against Membership Inference Attacks in ML Models

inferred← citeshttps://doi.org/10.1007/978-981-97-0425-5_9openalex-snapshot

Detecting Adversarial Examples via Local Gradient Checking

inferred← citeshttps://doi.org/10.1007/978-981-97-0562-7_30openalex-snapshot

Hardware/Software Co-Design for Traffic Sign Inference on Edge Using PYNQ

inferred← citeshttps://doi.org/10.1007/978-981-97-0903-8_32openalex-snapshot

Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction

inferred← citeshttps://doi.org/10.1007/978-981-97-2082-8_14openalex-snapshot

Transfer Learning-Based Speed Limit Traffic Sign Recognition with Multilingual Audio Alerts

inferred← citeshttps://doi.org/10.1007/978-981-97-4533-3_33openalex-snapshot

Enhancing Road Safety: Automated Traffic Sign Detection and Recognition Using Image Processing Techniques

inferred← citeshttps://doi.org/10.1007/978-981-97-7423-4_22openalex-snapshot

Traffic Sign Recognition Framework Using Zero-Shot Learning

inferred← citeshttps://doi.org/10.1007/978-981-99-4577-1_12openalex-snapshot

Machine Learning Approach for Traffic Sign Detection and Indication Using Open CV with Python

inferred← citeshttps://doi.org/10.1007/978-981-99-4742-3_56openalex-snapshot

Traffic Sign Recognition Based on Improved VGG-16 Model

inferred← citeshttps://doi.org/10.1007/s00371-020-01922-5openalex-snapshot

Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy

inferred← citeshttps://doi.org/10.1007/s00371-021-02211-5openalex-snapshot

Improved architecture for traffic sign recognition using a self-regularized activation function: SigmaH

inferred← citeshttps://doi.org/10.1007/s00371-022-02540-zopenalex-snapshot

Multiclass classification by Min–Max ECOC with Hamming distance optimization

inferred← citeshttps://doi.org/10.1007/s00500-019-04307-6openalex-snapshot

A robust system for road sign detection and classification using LeNet architecture based on convolutional neural network

inferred← citeshttps://doi.org/10.1007/s00500-021-06726-wopenalex-snapshot

Automatic road sign detection and recognition based on neural network

inferred← citeshttps://doi.org/10.1007/s00521-017-2887-xopenalex-snapshot

Traffic sign recognition based on color, shape, and pictogram classification using support vector machines

inferred← citeshttps://doi.org/10.1007/s00521-017-3315-yopenalex-snapshot

Constrained-storage variable-branch neural tree for classification

inferred← citeshttps://doi.org/10.1007/s00521-020-05437-xopenalex-snapshot

A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images

inferred← citeshttps://doi.org/10.1007/s00521-021-05982-zopenalex-snapshot

Synthetic Data generation using DCGAN for improved traffic sign recognition

inferred← citeshttps://doi.org/10.1007/s00521-022-07253-xopenalex-snapshot

A low latency traffic sign detection model with an automatic data labeling pipeline

inferred← citeshttps://doi.org/10.1007/s00521-022-07782-5openalex-snapshot

CDFF: a fast and highly accurate method for recognizing traffic signs

inferred← citeshttps://doi.org/10.1007/s00521-024-09469-5openalex-snapshot

Deep neural networks watermark via universal deep hiding and metric learning

inferred← citeshttps://doi.org/10.1007/s00521-024-10279-yopenalex-snapshot

Traffic sign detection and recognition based on MMS data using YOLOv4-Tiny algorithm

inferred← citeshttps://doi.org/10.1007/s00521-024-10677-2openalex-snapshot

Traffic sign recognition model based on scale sequence features and high-order spatial interactions

inferred← citeshttps://doi.org/10.1007/s10009-023-00711-4openalex-snapshot

Into the unknown: active monitoring of neural networks (extended version)

inferred← citeshttps://doi.org/10.1007/s10270-024-01183-zopenalex-snapshot

ModelXGlue: a benchmarking framework for ML tools in MDE

inferred← citeshttps://doi.org/10.1007/s10462-023-10405-7openalex-snapshot

Deep learning: survey of environmental and camera impacts on internet of things images

inferred← citeshttps://doi.org/10.1007/s10489-013-0425-9openalex-snapshot

Boosting-SVM: effective learning with reduced data dimension

inferred← citeshttps://doi.org/10.1007/s10489-019-01511-7openalex-snapshot

Small traffic sign detection from large image

inferred← citeshttps://doi.org/10.1007/s10489-020-01801-5openalex-snapshot

Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems

inferred← citeshttps://doi.org/10.1007/s10489-022-03159-2openalex-snapshot

Defense against adversarial examples based on wavelet domain analysis

inferred← citeshttps://doi.org/10.1007/s10489-022-03991-6openalex-snapshot

A hybrid adversarial training for deep learning model and denoising network resistant to adversarial examples

inferred← citeshttps://doi.org/10.1007/s10489-025-06497-zopenalex-snapshot

Continual learning with selective nets

inferred← citeshttps://doi.org/10.1007/s10489-026-07156-7openalex-snapshot

FBAO: backdoor attack against object detection via frequency noise injection

inferred← citeshttps://doi.org/10.1007/s10489-026-07328-5openalex-snapshot

DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack

inferred← citeshttps://doi.org/10.1007/s10586-025-05207-1openalex-snapshot

Defenses against model stealing attacks in MLaaS: literature review and challenges

inferred← citeshttps://doi.org/10.1007/s10586-025-05291-3openalex-snapshot

Fairness-based federated learning in autonomous vehicles with exponential moving average loss weighting

inferred← citeshttps://doi.org/10.1007/s11036-019-01409-1openalex-snapshot

Efficient Traffic Sign Recognition Using Cross-Connected Convolution Neural Networks Under Compressive Sensing Domain

inferred← citeshttps://doi.org/10.1007/s11042-014-2293-7openalex-snapshot

A review on automatic detection and recognition of traffic sign

inferred← citeshttps://doi.org/10.1007/s11042-017-5054-6openalex-snapshot

Driver information system: a combination of augmented reality, deep learning and vehicular Ad-hoc networks

inferred← citeshttps://doi.org/10.1007/s11042-019-7391-0openalex-snapshot

A novel fusion mixture of active experts algorithm for traffic signs recognition

inferred← citeshttps://doi.org/10.1007/s11042-020-09509-xopenalex-snapshot

Weight analysis for various prohibitory sign detection and recognition using deep learning

inferred← citeshttps://doi.org/10.1007/s11042-022-12177-8openalex-snapshot

Pakistani traffic-sign recognition using transfer learning

inferred← citeshttps://doi.org/10.1007/s11042-022-14021-5openalex-snapshot

2N labeling defense method against adversarial attacks by filtering and extended class label set

inferred← citeshttps://doi.org/10.1007/s11219-024-09687-zopenalex-snapshot

Integrated multi-view modeling for reliable machine learning-intensive software engineering

inferred← citeshttps://doi.org/10.1007/s11227-022-04670-6openalex-snapshot

Traffic sign detection based on multi-scale feature extraction and cascade feature fusion

inferred← citeshttps://doi.org/10.1007/s11263-026-02944-7openalex-snapshot

RoFLIP: Robust and Fine-Grained Alignment for Vision-Language Compositional Reasoning

inferred← citeshttps://doi.org/10.1007/s11265-017-1324-9openalex-snapshot

Spatially Enhanced Bags of Visual Words Representation to Improve Traffic Signs Recognition

inferred← citeshttps://doi.org/10.1007/s11277-022-09718-7openalex-snapshot

A New Traffic Sign Recognition Technique Taking Shuffled Frog-Leaping Algorithm into Account

inferred← citeshttps://doi.org/10.1007/s11432-022-3671-9openalex-snapshot

Mitigate noisy data for smart IoT via GAN based machine unlearning

inferred← citeshttps://doi.org/10.1007/s11554-017-0689-0openalex-snapshot

Real-time embedded system for traffic sign recognition based on ZedBoard

inferred← citeshttps://doi.org/10.1007/s11760-017-1132-5openalex-snapshot

In-vehicle augmented reality TSR to improve driving safety and enhance the driver’s experience

inferred← citeshttps://doi.org/10.1007/s11760-025-04038-2openalex-snapshot

Multi-resolution training improves robustness against adversarial attacks

inferred← citeshttps://doi.org/10.1007/s11760-026-05276-8openalex-snapshot

Enhanced Traffic Sign Detection in Severe Weather: A Multi-Teacher-Single-Student Knowledge Distillation Approach

inferred← citeshttps://doi.org/10.1007/s11831-019-09321-3openalex-snapshot

Review of Vehicle Detection Systems in Advanced Driver Assistant Systems

inferred← citeshttps://doi.org/10.1007/s12065-022-00713-2openalex-snapshot

Towards the design of vision-based intelligent vehicle system: methodologies and challenges

inferred← citeshttps://doi.org/10.1007/s12243-019-00731-9openalex-snapshot

Lightweight deep network for traffic sign classification

inferred← citeshttps://doi.org/10.1007/s12530-024-09643-zopenalex-snapshot

AFLF: a defensive framework to defeat multi-faceted adversarial attacks via attention feature fusion

inferred← citeshttps://doi.org/10.1007/s12596-023-01300-zopenalex-snapshot

Active mode single-pixel imaging through strong scattering media via least squares conditional generative adversarial networks under low sampling rates

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