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bug fix in url of pretrained weight
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MingLin-home committed Sep 3, 2021
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -65,7 +65,7 @@ We provided pre-trained models on ImageNet and CIFAR-10/CIFAR-100.

| model | resolution | \# params | FLOPs | Top-1 Acc | V100 | T4 | Pixel2 |
| ----- | ---------- | -------- | ----- | --------- | ---- | --- | ------ |
| [zennet\_imagenet1k\_flops400M\_SE\_res224](https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/les/iccv2021_zennet_imagenet1k_flops400M_SE_res224/student_best-params_rank0.pth) | 224 | 5.7M | 410M | 78.0% | 0.25 | 0.39 | 87.9 |
| [zennet\_imagenet1k\_flops400M\_SE\_res224](https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/ZenNet/pretrained_models/iccv2021_zennet_imagenet1k_flops400M_SE_res224/student_best-params_rank0.pth) | 224 | 5.7M | 410M | 78.0% | 0.25 | 0.39 | 87.9 |
| [zennet\_imagenet1k\_flops600M\_SE\_res224](https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/ZenNet/pretrained_models/iccv2021_zennet_imagenet1k_flops600M_SE_res224/student_best-params_rank0.pth) | 224 | 7.1M | 611M | 79.1% | 0.36 | 0.52 | 128.6 |
| [zennet\_imagenet1k\_flops900M\_SE\_res224](https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/ZenNet/pretrained_models/zennet_imagenet1k_flops900M_SE_res224/student_best-params_rank0.pth) | 224 | 19.4M | 934M | 80.8% | 0.55 | 0.55 | 215.7 |
| [zennet\_imagenet1k\_latency01ms\_res224](https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/ZenNet/pretrained_models/iccv2021_zennet_imagenet1k_latency01ms_res224/student_best-params_rank0.pth) | 224 | 30.1M | 1.7B | 77.8% | 0.1 | 0.08 | 181.7 |
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2 changes: 1 addition & 1 deletion ZenNet/__init__.py
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Expand Up @@ -81,7 +81,7 @@
'use_SE': True,
'resolution': 224,
'crop_image_size': 320,
'pretrained_pth_url': 'https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/pretrained_models/iccv2021_zennet_imagenet1k_flops400M_SE_res224/student_best-params_rank0.pth',
'pretrained_pth_url': 'https://idstcv.oss-cn-zhangjiakou.aliyuncs.com/ZenNet/pretrained_models/iccv2021_zennet_imagenet1k_flops400M_SE_res224/student_best-params_rank0.pth',
},

'zennet_imagenet1k_flops600M_SE_res224': {
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