self-supervision
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gustavla
Training and evaluating self-supervised deep neural networks
So colorization as a proxy task in self-supervised learning just means that we pretrained the vgg16 or ResNet network for image colorization, and then transfer the weights in the pretrained...
The `test()` function is missing. Also if you have code to finetune vgg-16 and alexnet models for semantic segmentation that will be very useful to make a fair comparison against...
Hi Gustav, I downloaded the pretrained VGG-16 model from http://people.cs.uchicago.edu/~larsson/color-proxy/models/vgg16.caffemodel.h5 and tried to fine tune it for pascal classification using the script in `selfsup/evaluate/__main__.py` . Unfortunately, the pretrained model's `conv1_1`...
Hi Gustav, I got the output from the neural net but its a (1,32) vector of h and c values whereas the input image had dimensions (514,514). I compared it...
Hi @gustavla, I tried running the Tensorflow code that you have uploaded using the following instructions that you mentioned: ``` import deepdish as dd import selfsup.model.vgg16 data = dd.io.load('vgg16.caffemodel.h5') x...
The paper inspires me a lot. Great work! I am wondering when the code will be released. Looking forward to it. Thanks a lot.
