Views
No views yet
Yu et al., 2024 — InceptionNeXt: When Inception Meets ConvNeXt (arXiv:2303.16900)
timm/inception_next_small.sail_in1k,
converted to Lucid-native safetensors.| Tag | acc@1 | acc@5 | Params | GFLOPs | Size | Source |
|---|---|---|---|---|---|---|
SAIL_IN1K (default) | 83.5 | 96.6 | 49.4M | — | 188.52 MB | timm |
1import lucid.models as models
2from lucid.models.weights import InceptionNeXtSmallWeights
3
4# default tag
5model = models.inception_next_small_cls(pretrained=True)
6
7# explicit tag (enum or string)
8model = models.inception_next_small_cls(weights=InceptionNeXtSmallWeights.SAIL_IN1K)
9model = models.inception_next_small_cls(pretrained="SAIL_IN1K")
10
11# preprocessing travels with the weights
12weights = InceptionNeXtSmallWeights.SAIL_IN1K
13preprocess = weights.transforms()
14logits = model(preprocess(image)[None]).logitstimm/inception_next_small.sail_in1k via
python -m tools.convert_weights inception_next_small --tag SAIL_IN1K.
Key mapping + numerical parity verified against the source.apache-2.0 — inherited from the original weights.@inproceedings{yu2024inceptionnext,
title={InceptionNeXt: When Inception Meets ConvNeXt},
author={Yu, Weihao and Zhou, Pan and Yan, Shuicheng and Wang, Xinchao},
booktitle={CVPR}, year={2024}
}