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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 41–50 of 127 papers

TitleStatusHype
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
Enhancing Traffic Sign Recognition On The Performance Based On Yolov8—0
Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity—0
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks—0
A Deeply Supervised Semantic Segmentation Method Based on GAN—0
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning—0
Feature-Guided Black-Box Safety Testing of Deep Neural Networks—0
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
FUSED-Net: Detecting Traffic Signs with Limited Data—0
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