Training and evaluating self-supervised deep neural networks.
These models were all trained entirely without labeled data using colorization as a proxy task:
AlexNet <http://people.cs.uchicago.edu/~larsson/color-proxy/models/alexnet.caffemodel.h5>
_VGG-16 <http://people.cs.uchicago.edu/~larsson/color-proxy/models/vgg16.caffemodel.h5>
_ResNet-152 <http://people.cs.uchicago.edu/~larsson/color-proxy/models/resnet152.caffemodel.h5>
_The models are saved in Caffe HDF5 files. Our evaluation code in TensorFlow can load these files. The AlexNet model uses LRN (applied before pooling)