3 ms·
https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W15/html/Razavian_CNN_Features_Off-the-Shelf_2014_CVPR_paper.html https://www.cv-foundation
by superpermutat0r 7y ago
https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W15/html/Razavian_CNN_Features_Off-the-Shelf_2014_CVPR_paper.html https://www.cv-foundation.org/openaccess/content_cvpr_worksh...
Here's a nice paper. But yes, almost any CNN works.
VGG-16 or VGG-19 seem to be used the most.
- thanatropism 7y agoYeah, but if I understood it correctly the VGG-16 that comes with Keras is trained to give a probability distribution over 1000 interpretable labels. I was hoping for something that, like word2vec, embedded image data in low-ish dimension.