lucid-dl/inception-next-base

InceptionNeXt-Base

Yu et al., 2024 — InceptionNeXt: When Inception Meets ConvNeXt (arXiv:2303.16900)

Lucid port of timm/inception_next_base.sail_in1k, converted to Lucid-native safetensors.

Available weights

Tag	acc@1	acc@5	Params	GFLOPs	Size	Source
SAIL_IN1K (default)	84.0	96.9	86.7M	—	330.84 MB	timm

Usage

import lucid.models as models
from lucid.models.weights import InceptionNeXtBaseWeights

# default tag
model = models.inception_next_base_cls(pretrained=True)

# explicit tag (enum or string)
model = models.inception_next_base_cls(weights=InceptionNeXtBaseWeights.SAIL_IN1K)
model = models.inception_next_base_cls(pretrained="SAIL_IN1K")

# preprocessing travels with the weights
weights = InceptionNeXtBaseWeights.SAIL_IN1K
preprocess = weights.transforms()
logits = model(preprocess(image)[None]).logits

Conversion

Converted from timm/inception_next_base.sail_in1k via python -m tools.convert_weights inception_next_base --tag SAIL_IN1K. Key mapping + numerical parity verified against the source.

License

apache-2.0 — inherited from the original weights.

Citation

@inproceedings{yu2024inceptionnext,
  title={InceptionNeXt: When Inception Meets ConvNeXt},
  author={Yu, Weihao and Zhou, Pan and Yan, Shuicheng and Wang, Xinchao},
  booktitle={CVPR}, year={2024}
}