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A custom SPDConv + WTConv module for YOLO models

Project description

SPDConv

This is a custom SPDConv module for YOLO models, designed to improve performance on specific tasks. 一种新的卷积神经网络构建SPD-Conv,旨在解决低分辨率或小目标任务中的性能下降问题。通过替换步幅卷积和池化层,SPD-Conv保持了细粒度信息,提高了特征学习效率

WTConv

This is a custom WTConv module for YOLO models, designed to improve performance on specific tasks. 引入了小波卷积模块,旨在扩大卷积的感受野并有效捕捉图像中的低频信息。其对多尺度问题和小目标问题上有很好的效果

H-RAMI

This is a custom WTConv module for YOLO models H-RAMi将不同层级的信息结合在一起,形成最终的输出。这一过程能够利用不同层次间的信息交互,得到更加全面且具有层次感的理解

Installation

You can install the SPDConv module via pip:

pip install xl_yolo_pkg

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