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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 11–20 of 127 papers

TitleStatusHype
Adversarial Sticker: A Stealthy Attack Method in the Physical WorldCode1
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial PerturbationsCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving—0
Securing Traffic Sign Recognition Systems in Autonomous Vehicles—0
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition—0
Enhancing Traffic Sign Recognition On The Performance Based On Yolov8—0
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles—0
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