InceptionNeXt-Tiny

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

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

Available weights

Tag acc@1 acc@5 Params GFLOPs Size Source
SAIL_IN1K (default) 82.3 96.1 28.1M — 107.11 MB timm

Usage

import lucid.models as models
from lucid.models.weights import InceptionNeXtTinyWeights

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

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

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

Conversion

Converted from timm/inception_next_tiny.sail_in1k via python -m tools.convert_weights inception_next_tiny --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}
}
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Dataset used to train lucid-dl/inception-next-tiny

Paper for lucid-dl/inception-next-tiny

Evaluation results