Name
Abstract | ||
|---|---|---|
•A novel deep multibranch multitask neural network architecture.•The different branches process the input image at different scales.•A trainable crop strategy to feed branches with the most informative regions.•The injection of hand-crafted features inside the network for painting categorization.•A new dataset composed of 100k paintings from 1508 artists, 125 styles, 41 genres. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2019.05.036 | Expert Systems with Applications |
Keywords | Field | DocType |
Painting categorization,Painting style classification,Painter recognition,Deep convolutional neural network,Multiresolution,Multitask | Categorization,Multi-task learning,Computer science,Painting,Exploit,Artificial intelligence,Deep learning,Artificial neural network,Discriminative model,Machine learning | Journal |
Volume | ISSN | Citations |
135 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simone Bianco | 1 | 226 | 24.48 |
| Davide Mazzini | 2 | 28 | 2.48 |
| Paolo Napoletano | 3 | 339 | 37.19 |
| Raimondo Schettini | 4 | 1476 | 154.06 |