Pretrained weights for lucid.models.crossvit_base_cls.
Chen et al. ICCV 2021 dual-branch ViT (105 M params, top-1 82.2%).
Attributes
IN1KWeightEntryImageNet-1k checkpoint (top-1 82.2%), sourced from
timm/crossvit_base_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_base_cls
>>> model = crossvit_base_cls(pretrained=True).eval()