ImageNet pre-trained models with batch normalization

December 05, 2016 · Entered Twilight · 🏛 arXiv.org

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Repo contents: .gitignore, AlexNet_cvgj, LICENSE, README.md, ResNet_preact, VGG19_cvgj

Authors Marcel Simon, Erik Rodner, Joachim Denzler arXiv ID 1612.01452 Category cs.CV: Computer Vision Citations 169 Venue arXiv.org Repository https://github.com/cvjena/cnn-models ⭐ 364 Last Checked 1 month ago

Abstract

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