Pretrained weights for lucid.models.cspdarknet_53_cls.
Wang et al. CVPRW 2020 CSP-Darknet-53 (27.6 M params, top-1 80.06%).
Attributes
RA_IN1KWeightEntryImageNet-1k RandAugment recipe checkpoint (top-1 80.06%),
sourced from
timm/cspdarknet53.ra_in1k.DEFAULTWeightEntryAlias for
RA_IN1K.Notes
Reference: Wang, Liao, Wu, Chen, Hsieh, Yeh, "CSPNet: A New Backbone that can Enhance Learning Capability of CNN", CVPRW 2020 (arXiv:1911.11929).
Examples
>>> from lucid.models import cspdarknet_53_cls
>>> model = cspdarknet_53_cls(pretrained=True).eval()