Pretrained weights for lucid.models.crossvit_small_cls.
Chen et al. ICCV 2021 dual-branch ViT (26.9 M params, top-1 81.0%).
Attributes
IN1KWeightEntryImageNet-1k checkpoint (top-1 81.0%), sourced from
timm/crossvit_small_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_small_cls
>>> model = crossvit_small_cls(pretrained=True).eval()