Pretrained weights for lucid.models.crossvit_15_cls.
15-block CrossViT variant (Chen et al. ICCV 2021; 27.5 M params, top-1 81.5%).
Attributes
IN1KWeightEntryImageNet-1k checkpoint (top-1 81.5%), sourced from
timm/crossvit_15_240.in1k.DEFAULTWeightEntryAlias for
IN1K.Notes
Reference: Chen, Fan, Panda, "CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification", ICCV 2021 (arXiv:2103.14899).
Examples
>>> from lucid.models import crossvit_15_cls
>>> model = crossvit_15_cls(pretrained=True).eval()