Can we teach computers to understand art? Domain adaptation for enhancing deep networks capacity to de-abstract art

Author:

Badea Mihai,Florea Corneliu,Florea Laura,Vertan Constantin

Funder

Romanian National Authority for Scientific Research and Innovation

CCCDI-UEFISCDI

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference50 articles.

1. Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence;Cichy;Sci. Rep.,2016

2. Deep residual learning for image recognition;He,2016

3. Domain Transfer for Delving into Deep Networks Capacity to De-abstract Art;Florea,2017

4. Efficient domain adaptation for painting theme recognition;Badea,2017

5. Image style transfer using convolutional neural networks;Gatys,2016

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