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Designing Network Design Spaces
Introduction
@article{radosavovic2020designing,
title={Designing Network Design Spaces},
author={Ilija Radosavovic and Raj Prateek Kosaraju and Ross Girshick and Kaiming He and Piotr Dollár},
year={2020},
eprint={2003.13678},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
Pretrain model
The pre-trained modles are converted from model zoo of pycls.
ImageNet
| Model | Params(M) | Flops(G) | Top-1 (%) | Top-5 (%) | Download |
|---|---|---|---|---|---|
| RegNetX-400MF | 5.16 | 0.41 | 72.55 | 90.91 | model |
| RegNetX-800MF | 7.26 | 0.81 | 75.21 | 92.37 | model |
| RegNetX-1.6GF | 9.19 | 1.63 | 77.04 | 93.51 | model |
| RegNetX-3.2GF | 15.3 | 3.21 | 78.26 | 94.20 | model |
| RegNetX-4.0GF | 22.12 | 4.0 | 78.72 | 94.22 | model |
| RegNetX-6.4GF | 26.21 | 6.51 | 79.22 | 94.61 | model |
| RegNetX-8.0GF | 39.57 | 8.03 | 79.31 | 94.57 | model |
| RegNetX-12GF | 46.11 | 12.15 | 79.91 | 94.78 | model |
Results and models
Waiting for adding.