57 citations · 99 across the 6 of their papers we have counts for
3 papers · 1 filter
An analysis of the transfer learning of convolutional neural networks for artistic images
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
Transfer learning from huge natural image datasets, fine-tuning of deep neural networks and the use of the corresponding pre-trained networks have become de facto the core of art a…
High resolution neural texture synthesis with long range constraints
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
The field of texture synthesis has witnessed important progresses over the last years, most notably through the use of Convolutional Neural Networks. However, neural synthesis meth…
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts
Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
Weakly supervised object detection (WSOD) using only image-level annotations has attracted a growing attention over the past few years. Whereas such task is typically addressed wit…