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update cotnet
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@leondgarse
leondgarse committed Aug 5, 2021
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24 changes: 12 additions & 12 deletions README.md
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| halo_b1 | 8.8M | 256 | |
| halo_b2 | 11.04M | 256 | |
| halo_b3 | 15.1M | 320 | |
| halo_b4 | 31.4M | 384 | 85.5% |
| halo_b4 | 31.4M | 384 | 85.5 |
| halo_b5 | 34.4M | 448 | |
| halo_b6 | 47.98M | 512 | |
| halo_b7 | 68.4M | 600 | |
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| CoAtNet-4, ImageNet-21k pretrain | 275M | 512 | 88.1 |
| CoAtNet-4, ImageNet-21K + PT-RA-E150 | 275M | 512 | 88.56 |

- **[In progress]** [CoTNet](keras_cv_attention_models/cotnet)
| name | resolution | #params | FLOPs | Top-1 Acc. | Top-5 Acc. |
| -------------- |:----------:|:-------:|:-----:|:----------:|:----------:|
| CoTNet-50 | 224 | 22.2M | 3.3 | 81.3 | 95.6 |
| CoTNeXt-50 | 224 | 30.1M | 4.3 | 82.1 | 95.9 |
| SE-CoTNetD-50 | 224 | 23.1M | 4.1 | 81.6 | 95.8 |
| CoTNet-101 | 224 | 38.3M | 6.1 | 82.8 | 96.2 |
| CoTNeXt-101 | 224 | 53.4M | 8.2 | 83.2 | 96.4 |
| SE-CoTNetD-101 | 224 | 40.9M | 8.5 | 83.2 | 96.5 |
| SE-CoTNetD-152 | 224 | 55.8M | 17.0 | 84.0 | 97.0 |
| SE-CoTNetD-152 | 320 | 55.8M | 26.5 | 84.6 | 97.1 |
- **[In progress]** [CoTNet](keras_cv_attention_models/cotnet)
| Model | params | Image resolution | FLOPs | Top1 Acc | Top5 Acc |
| -------------- |:------:| ---------------- | ----- |:--------:|:--------:|
| CoTNet-50 | 22.2M | 224 | 3.3 | 81.3 | 95.6 |
| CoTNeXt-50 | 30.1M | 224 | 4.3 | 82.1 | 95.9 |
| SE-CoTNetD-50 | 23.1M | 224 | 4.1 | 81.6 | 95.8 |
| CoTNet-101 | 38.3M | 224 | 6.1 | 82.8 | 96.2 |
| CoTNeXt-101 | 53.4M | 224 | 8.2 | 83.2 | 96.4 |
| SE-CoTNetD-101 | 40.9M | 224 | 8.5 | 83.2 | 96.5 |
| SE-CoTNetD-152 | 55.8M | 224 | 17.0 | 84.0 | 97.0 |
| SE-CoTNetD-152 | 55.8M | 320 | 26.5 | 84.6 | 97.1 |

***

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20 changes: 10 additions & 10 deletions keras_cv_attention_models/cotnet/README.md
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- [Github JDAI-CV/CoTNet](https://github.com/JDAI-CV/CoTNet)
***

| name | resolution | #params | FLOPs | Top-1 Acc. | Top-5 Acc. |
| -------------- |:----------:|:-------:|:-----:|:----------:|:----------:|
| CoTNet-50 | 224 | 22.2M | 3.3 | 81.3 | 95.6 |
| CoTNeXt-50 | 224 | 30.1M | 4.3 | 82.1 | 95.9 |
| SE-CoTNetD-50 | 224 | 23.1M | 4.1 | 81.6 | 95.8 |
| CoTNet-101 | 224 | 38.3M | 6.1 | 82.8 | 96.2 |
| CoTNeXt-101 | 224 | 53.4M | 8.2 | 83.2 | 96.4 |
| SE-CoTNetD-101 | 224 | 40.9M | 8.5 | 83.2 | 96.5 |
| SE-CoTNetD-152 | 224 | 55.8M | 17.0 | 84.0 | 97.0 |
| SE-CoTNetD-152 | 320 | 55.8M | 26.5 | 84.6 | 97.1 |
| Model | params | Image resolution | FLOPs | Top1 Acc | Top5 Acc |
| -------------- |:------:| ---------------- | ----- |:--------:|:--------:|
| CoTNet-50 | 22.2M | 224 | 3.3 | 81.3 | 95.6 |
| CoTNeXt-50 | 30.1M | 224 | 4.3 | 82.1 | 95.9 |
| SE-CoTNetD-50 | 23.1M | 224 | 4.1 | 81.6 | 95.8 |
| CoTNet-101 | 38.3M | 224 | 6.1 | 82.8 | 96.2 |
| CoTNeXt-101 | 53.4M | 224 | 8.2 | 83.2 | 96.4 |
| SE-CoTNetD-101 | 40.9M | 224 | 8.5 | 83.2 | 96.5 |
| SE-CoTNetD-152 | 55.8M | 224 | 17.0 | 84.0 | 97.0 |
| SE-CoTNetD-152 | 55.8M | 320 | 26.5 | 84.6 | 97.1 |

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