ImageNet pre-trained models with batch normalization

Code

• github.com/cvjena/cnn-models
  OfficialIn papercaffe2★ 0
• github.com/TiantianWang/ICCV17_SRM
  none★ 0
• github.com/ChuuyaZZZ/6787-Final-project
  tf★ 0
• github.com/fdac18/ForensicImages
  none★ 0

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

Reproductions