swin Transformer模型

Swin Transformer是一种基于Transformer的深度学习模型，具有出色的视觉任务表现。相比于之前的Vision Transformer (ViT)，Swin Transformer更高效、更精准，因此成为当今许多视觉模型架构的主干。它使用分层特征图和移动窗口MSA来解决ViT存在的问题。Swin Transformer目前被广泛应用于图像分类和对象检测等广泛的视觉任务中。 可以在GitHub上找到Swin Transformer的代码。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [Swin-Transformer 详解](https://blog.csdn.net/wangbingqian_110/article/details/124953433)[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* [【深度学习】详解 Swin Transformer (SwinT)](https://blog.csdn.net/qq_39478403/article/details/120042232)[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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