transformer cifar100

引用和提到了在CIFAR10数据集上使用Vision Transformer和Swin-Transformer进行测试。引用中提到，Swin-Transformer在测试CIFAR-10数据集时，可以将训练图像的分辨率设置为32x32或更高（例如224x224），这样可以加快模型的收敛速度并提高识别效果。因此，CIFAR-10数据集可以被用于测试Transformer模型的性能。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [Vision Transformer-CIFAR10](https://download.csdn.net/download/cax1165/62273762)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [使用Swin-Transformer进行CIFAR100数据集的训练](https://blog.csdn.net/blockshowtouse/article/details/128706436)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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