Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: traffic sign recognition with hierarchical convolutional neural network .
Traffic sign recognition with multi-scale Convolutional Networks
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
An Improved Traffic Signs Recognition and Tracking Method for Driver Assistance System
Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics
A system for traffic sign detection, tracking, and recognition using color, shape, and motion information
Detection of traffic signs in real-world images: The German traffic sign detection benchmark
The German Traffic Sign Recognition Benchmark: A multi-class classification competition
HDTLR: A CNN based Hierarchical Detector for Traffic Lights
ai methods in transportation road and traffic sign detection and recognition .
Real-Time Traffic Sign Detection via Color Probability Model and Integral Channel Features
Traffic sign detection and recognition for intelligent vehicle
Deep Convolutional Traffic Light Recognition for Automated Driving
Recognizing Text-Based Traffic Signs
robust method for road sign detection and recognition .
A traffic sign detection pipeline based on interest region extraction
Traffic Sign Recognition using SURF: Speeded up robust feature descriptor and artificial neural network classifier
Road-Sign Detection and Recognition Based on Support Vector Machines
RFID Based Traffic Sign Recognition
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification
deep , big , simple neural nets for handwritten digit recognition .
Automatic Segmentation of Hair in Images
Gut–brain axis: how the microbiome influences anxiety and depression
MAGNETIC RESONANCE IMAGING OF PATELLAR TENDONITIS
Random walk with restart: fast solutions and applications