Pretrained weights for lucid.models.crossvit_9_cls.
9-block CrossViT variant (Chen et al. ICCV 2021; 8.6 M params, top-1 73.9%).
Attributes
IN1KWeightEntryImageNet-1k checkpoint (top-1 73.9%), sourced from
timm/crossvit_9_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_9_cls
>>> model = crossvit_9_cls(pretrained=True).eval()