patchSize就是作为一个输入的token取的特征图上的像素范围/个数,swinT实现线性复杂度的方法是在窗口内...
综上所述,本文系统地探讨了Swin Transformer中window-size和patch-size的区别,通过提出和应用创新技术,成功地将模型扩展到30亿参数量,实现了在视觉领域高分辨率图像处理的高效和准确训练。
Google Research introduced “MUSIQ: Multi-scale Image Quality Transformer,” published at ICCV 2021, to address these problems. This patch-based multi-scale image quality transformer (MUSIQ) can accurately foreca...
Swin Transformer的主要思想是将几个重要的视觉信号先验引入到普通的Transformer编码器架构中,包括层次结构...