This is an Keras implementation of DenseNet with ImageNet pretrained weights. The weights are converted from Caffe Models. The implementation supports both Theano and TensorFlow backends.
To know more about how DenseNet works, please refer to the original paper
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Kilian Q. Weinberger, Laurens van der Maaten
arXiv:1608.06993
Pretrained DenseNet Models on ImageNet
The top-1/5 accuracy rates by using single center crop (crop size: 224x224, image size: 256xN)