swintransformerV2
时间: 2023-08-26 21:15:03 浏览: 56
Swin Transformer V2是一个基于Transformer的图像分类框架,它具有较小的模型尺寸和参数数量,同时在训练速度和准确性方面表现更好。根据引用的信息,Swin Transformer V2有不同的配置,包括SwinV2-T、SwinV2-S、SwinV2-B和SwinV2-L。这些配置具有不同的通道数和块数,以适应不同的需求。引用中提到,Swin Transformer V2还可以用作特征提取器,被嵌入到YOLOv7的检测头中,进一步提升检测的效果。<em>1</em><em>2</em><em>3</em>
#### 引用[.reference_title]
- *1* [【第49篇】Swin Transformer V2:扩展容量和分辨率](https://blog.csdn.net/m0_47867638/article/details/131369609)[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^v92^chatsearchT3_1"}} ] [.reference_item]
- *2* [我对Swin Transformer V2的理解](https://blog.csdn.net/m0_58770526/article/details/126321250)[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^v92^chatsearchT3_1"}} ] [.reference_item]
- *3* [改进YOLOv7系列:结合Swin Transformer V2实现更强大的计算机视觉模型](https://blog.csdn.net/wellcoder/article/details/130994949)[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^v92^chatsearchT3_1"}} ] [.reference_item]
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