INIS
evaluation
100%
augmentation
100%
neural networks
66%
photographs
66%
aesthetics
66%
images
33%
learning
33%
performance
33%
classification
33%
transformations
33%
communities
33%
photography
33%
datasets
33%
Computer Science
Neural Network Model
100%
Convolutional Neural Network
100%
Deep Convolutional Neural Networks
100%
Aesthetic Evaluation
100%
Research Community
50%
Deep Learning
50%
Learning Approach
50%
Classification Performance
50%
Engineering
Convolutional Neural Network
100%
Network Model
100%
Learning Approach
50%
Image Domain
50%
Classification Performance
50%
Deep Learning
50%
Arts and Humanities
Esthetics
100%
Digital
20%
Scheme
20%