self-supervision
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Training and evaluating self-supervised deep neural networks
Self-supervision
Training and evaluating self-supervised deep neural networks.
- http://people.cs.uchicago.edu/~larsson/color-proxy
Models
These models were all trained entirely without labeled data using colorization as a proxy task:
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AlexNet <http://people.cs.uchicago.edu/~larsson/color-proxy/models/alexnet.caffemodel.h5>
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VGG-16 <http://people.cs.uchicago.edu/~larsson/color-proxy/models/vgg16.caffemodel.h5>
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ResNet-152 <http://people.cs.uchicago.edu/~larsson/color-proxy/models/resnet152.caffemodel.h5>
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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)
Paper
- Colorization as a Proxy Task for Visual Understanding, Larsson, Maire, Shakhnarovich, CVPR 2017 (https://arxiv.org/abs/1703.04044)