V0.2.7-OpenSource-Preproduced-ImageNet-Weights
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We provide a collection of model weights and logs for image classification networks on ImageNet-1K (download) reproduced with OpenMixup or MMLab frameworks. You can view the training setting in config files and README pages of related models. You can download all files from Baidu Cloud (cicj).
If you want us to reproduce a new model or can provide reproduced results to OpenMixup, Please contact us by GitHub issued or e-mail. This release is on updating for a long time!
ImageNet Classification with OpenMixup
| Model | Paper | Pretrain | Params(M) | Flops(G) | Top-1(%) | Top-5(%) | Config | Download |
|---|---|---|---|---|---|---|---|---|
| DeiT-S | ICML'2021 | From scratch | 22.05 | 4.24 | 80.28 | 95.07 | config | model | log |
| DeiT-B | ICML'2021 | From scratch | 86.57 | 16.86 | 81.82 | 95.57 | config | model | log |
| Swin-T | ICCV'2021 | From scratch | 28.29 | 4.36 | 81.18 | 95.61 | config | model | log |
| ConvNeXt-T | CVPR'2022 | From scratch | 28.59 | 4.46 | 82.16 | 95.81 | config | model | log |
| UniFormer-T | ICLR'2022 | From scratch | 5.55 | 0.88 | 78.02 | 94.14 | config | model | log |
| UniFormer-S | ICLR'2022 | From scratch | 21.5 | 3.44 | 82.29 | 95.91 | config | model | log |
| VAN-T (B0) | arXiv'2022 | From scratch | 4.11 | 0.88 | 75.77 | 92.99 | config | model | log |
| VAN-S (B1) | arXiv'2022 | From scratch | 13.86 | 2.52 | 81.03 | 95.56 | config | model | log |
| VAN-B (B2) | arXiv'2022 | From scratch | 26.58 | 5.03 | 82.65 | 96.17 | config | model | log |
| LITv2-S | NIPS'2022 | From scratch | 27.85 | 3.52 | 81.74 | 95.59 | config | model | log |
| CoC-T | ICLR'2023 | From scratch | 5.60 | 1.10 | 72.70 | 91.26 | config | model | log |
| CoC-T-plain | ICLR'2023 | From scratch | 5.60 | 1.10 | 73.16 | 95.48 | config | model | log |
| CoC-S | ICLR'2023 | From scratch | 14.7 | 2.78 | 77.71 | 93.87 | config | model | log |