class

MobileNetV3SmallWeights

extendsWeightsEnum

MobileNetV3SmallWeights()

Pretrained weights for lucid.models.mobilenet_v3_small_cls.

Howard et al. ICCV 2019 Small (2.5 M params, top-1 67.67%).

IMAGENET1K_V1WeightEntry

ImageNet-1k V1 checkpoint (top-1 67.668% / top-5 87.402%), sourced from torchvision/MobileNet_V3_Small_Weights.IMAGENET1K_V1.

DEFAULTWeightEntry

Alias for IMAGENET1K_V1.

Reference: Howard et al., "Searching for MobileNetV3", ICCV 2019 (arXiv:1905.02244).

>>> from lucid.models import mobilenet_v3_small_cls
>>> model = mobilenet_v3_small_cls(pretrained=True).eval()