  Convolutional neural networks (CNN) pre-trained on ImageNet are the backbone
of most state-of-the-art approaches. In this paper, we present a new set of
pre-trained models with popular state-of-the-art architectures for the Caffe
framework. The first release includes Residual Networks (ResNets) with
generation script as well as the batch-normalization-variants of AlexNet and
VGG19. All models outperform previous models with the same architecture. The
models and training code are available at
http://www.inf-cv.uni-jena.de/Research/CNN+Models.html and
https://github.com/cvjena/cnn-models
