Pretrained weights for the 0.8M parameters config

liuzhuang13 / DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

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Pretrained weights for the 0.8M parameters config #51

Open nader93k opened 5 years ago

nader93k commented 5 years ago

Hi, could you please upload weights for imageNet for DenseNet-BC(L=100, k=12) which has only 0.8M parameters? It is compact and when we expand the network for the task of semantic segmentation, this really helps for controlling the number of parameters.

If you know any other resources for finding weights for this config, I would be grateful if you let me know.

liuzhuang13 commented 5 years ago

Hi,

The 0.8M model is only for CIFAR dataset... All ImageNet models are all available at readme page.