提交 a9cb4179 编写于 作者: L LittleMoon 提交者: cuicheng01

modified DSNet docs

上级 8d57bb31
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| Models | Top1 | Top5 | Reference<br>top1 | Reference<br>top5 | FLOPs<br>(G) | Params<br>(M) |
| :---------: | :---: | :---: | :---------------: | :---------------: | :----------: | :-----------: |
| DSNet-tiny | 0.792 | 0.948 | 0.790 | - | 1.8 | 10.5 |
| DSNet-small | 0.814 | 0.954 | 0.823 | - | 3.5 | 23.0 |
| DSNet-small | 0.820 | 0.960 | 0.823 | - | 3.5 | 23.0 |
| DSNet-base | 0.818 | 0.952 | 0.831 | - | 8.4 | 49.3 |
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......@@ -772,7 +772,7 @@ DeiT(Data-efficient Image Transformers)系列模型的精度、速度指标
| 模型 | Top-1 Acc | Top-5 Acc | time(ms)<br>bs=1 | time(ms)<br>bs=4 | time(ms)<br/>bs=8 | FLOPs(G) | Params(M) | 预训练模型下载地址 | inference模型下载地址 |
| ----------- | --------- | --------- | ---------------- | ---------------- | ----------------- | -------- | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| DSNet_tiny | 0.7919 | 0.9476 | - | - | - | 1.8 | 10.5 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DSNet_tiny_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/DSNet_tiny_infer.tar) |
| DSNet_small | 0.8137 | 0.9544 | - | - | - | 3.5 | 23.0 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DSNet_small_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/DSNet_small_infer.tar) |
| DSNet_small | 0.8196 | 0.9596 | - | - | - | 3.5 | 23.0 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DSNet_small_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/DSNet_small_infer.tar) |
| DSNet_base | 0.8175 | 0.9522 | - | - | - | 8.4 | 49.3 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/DSNet_base_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/DSNet_base_infer.tar) |
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