Pretrained weights for lucid.models.densenet_161_cls.
161-layer DenseNet (growth-rate 48, 28.7 M params, top-1 77.14%).
Attributes
IMAGENET1K_V1WeightEntryImageNet-1k V1 checkpoint (top-1 77.138% / top-5 93.560%),
sourced from
torchvision/DenseNet161_Weights.IMAGENET1K_V1.DEFAULTWeightEntryAlias for
IMAGENET1K_V1.Notes
Reference: Huang, Liu, van der Maaten, Weinberger, "Densely Connected Convolutional Networks", CVPR 2017 (arXiv:1608.06993).
Examples
>>> from lucid.models import densenet_161_cls
>>> model = densenet_161_cls(pretrained=True).eval()