yolov7与swim transformer结合

YOLOv7与Swin Transformer V2的结合是一种新的目标检测算法模型。Swin Transformer V2是基于Transformer的新型模型结构，通过突破传统CNN的性能瓶颈，具有更好的扩展性和可解释性。我们通过在YOLOv7的backbone网络中集成Swin Transformer V2模块，形成了这个新的检测算法模型。经过在多个数据集上的测试，这个模型不仅保持了YOLOv7的高速和高精度特点，还进一步提升了性能。具体的改进细节可以参考相关的博文和论文。<em>1</em><em>2</em><em>3</em>
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- *1* *3* [改进YOLOv7系列：YOLOv7与Swin Transformer V2的结合](https://blog.csdn.net/wellcoder/article/details/130935432)[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^chatsearchT0_1"}} ] [.reference_item]
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