swin_base_patch4_window7_224.ms_in22k 是基于 timm 框架的 Swin Transformer Base 图像分类模型，由论文作者在 ImageNet-22k 上预训练。这篇文章将带你深度剖析它的三大核心机制：Patch Embedding（分词嵌入）、窗口注意力（Window Attention）与移位窗口（Shifted Windows），彻底搞懂这张 ...
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python ...
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