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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 51–60 of 127 papers

TitleStatusHype
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition—0
FUSED-Net: Detecting Traffic Signs with Limited Data—0
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems—0
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets—0
Fooling a Real Car with Adversarial Traffic Signs—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Improving Prediction Confidence in Learning-Enabled Autonomous Systems—0
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks—0
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition—0
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