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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 21–30 of 127 papers

TitleStatusHype
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
SeqNet: Sequential Networks for One-Shot Traffic Sign Recognition With Transfer LearningCode0
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign RecognitionCode0
FUSED-Net: Detecting Traffic Signs with Limited Data—0
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition—0
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective—0
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks—0
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
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