CNN subitizing models described in the following papers (project page):

Salient Object Subitizing
J. Zhang, S. Ma, M. Sameki, S. Sclaroff, M. Betke, Z. Lin, X. Shen, B. Price and R. Mech.
CVPR, 2015.
http://cs-people.bu.edu/jmzhang/SOS/SOS_preprint.pdf

Salient Object Subitizing
J. Zhang, S. Ma, M. Sameki, S. Sclaroff, M. Betke, Z. Lin, X. Shen, B. Price and R. Mech.
arXiv, 2016.
http://arxiv.org/abs/1607.07525

Models:
* GoogleNet: CNN model finetuned on the Extended Salient Object Subitizing dataset (~11K images) and synthetic images. This model significantly improves over our previous models. Recommended.
* AlexNet: CNN model finetuned on our initial Salient Object Subitizing dataset (~5500 images). The architecture is the same as the Caffe reference network.
* VGG16: CNN model finetuned on our initial Salient Object Subitizing dataset (~5500 images).

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