Enhancing Recognition Accuracy of Urban Flooding by Generating Synthetic Samples Using CycleGAN.

Kuei-Chung Chang Yi-De Liao Chun-Yu Kuo

Published in: ICCE-TW (2022)

Keyphrases

recognition accuracy
recognition rate
face recognition
data sets
training samples
improve the recognition rate
real world
urban areas
real images are presented
machine learning
object recognition
feature space
sample points
sample set
urban planning
elastic graph matching