Pretrained weights for lucid.models.se_resnet_18_cls.
SE-ResNet-18 (Hu et al. CVPR 2018; 11.8 M params, top-1 70.6%).
Attributes
IN1KWeightEntryImageNet-1k checkpoint (top-1 70.6%), sourced from
timm/legacy_seresnet18.in1k.DEFAULTWeightEntryAlias for
IN1K.Notes
Reference: Hu, Shen, Sun, "Squeeze-and-Excitation Networks", CVPR 2018 (arXiv:1709.01507).
Examples
>>> from lucid.models import se_resnet_18_cls
>>> model = se_resnet_18_cls(pretrained=True).eval()