coatnet_3_cls(pretrained: bool = False, overrides: object = {})CoAtNet-3 image classifier (Dai et al., 2021).
Larger variant — dims=(192, 384, 768, 1536) — with the standard
CoAtNet head. Approximately 168M parameters, 84.5% ImageNet-1k
top-1 at 224x224 (Table 5).
Model Size
Examples
>>> import lucid
>>> from lucid.models.vision.coatnet import coatnet_3_cls
>>> model = coatnet_3_cls()
>>> out = model(lucid.randn(1, 3, 224, 224))
>>> out.logits.shape
(1, 1000)