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This organization maintains repositories built on Swin Transformers. The pretrained models locate at https://github.com/microsoft/Swin-Transformer - Swin Transformer
1.1 下载swin-transformer代码 git clone https://github.com/SwinTransformer/Swin-Transformer-Object-Detection.git cd Swin-Transformer-Object-Detection pip install -r requirements.txt python setup.py develop 1.2 环境配置(结合后面的看,这个会出现apex安装的问题) mmcv-full的安装:要注意版本的对应,可在下面...
GitHub - microsoft/Swin-Transformer: This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".github.com/microsoft/Swin-Transformer 本文主要的行文思路和章节为: Patch Partition & Linear Embedding Layer 。。。 Patch Partition & Linear Embedding 以...
预训练模型的获取在github主页,https://github.com/microsoft/Swin-Transformer,如下图所示 _C.MODEL.NUM_CLASSES 为分类类别数 _C.MODEL.TYPE = 'swin' 模型type,这里有swin 和 swin2 3 Model 上图为Swin Transformer的网络结构图,可知,沿用了VIT的Patch思想,对图像进行分割裁剪为Patch,注意是采用卷积实现的Pat...
Swin-TImageNet-1K224x22481.295.528M4.5G755-github/baidu/config/log Swin-SImageNet-1K224x22483.296.250M8.7G437-github/baidu/config/log Swin-BImageNet-1K224x22483.596.588M15.4G278-github/baidu/config/log Swin-BImageNet-1K384x38484.597.088M47.1G85-github/baidu/config ...
其性能超过了以往的最新水平,COCO上的+2.7boxAP和+2.6maskAP和ADE20K上的+3.2MIou的大幅度提升,显示了变换型作为视觉主干的潜力。代码和模型在https://github.com/microsoft/Swin-Transformer 1. 引言 卷积神经网络(CNNs)一直是计算机视觉建模的主流。从AlexNet[38]及其在ImageNet图像分类挑战中的革命性表现开始,...
github: https://github.com/microsoft/Swin-Transformer 前言 hi guy!欢迎来到这里,这里是对swin transformer的复现工作,众周所知transformer尽管在CV任务有着不俗的表现,但是这是牺牲了速度与算力为原则,这也是现在传统CNN没有被transformer取代的原因——CNN实在是太成熟了,目前业界不会冒风险并再挖坑填坑接纳transfor...
参考代码 paddle计算机视觉教程https://www.paddlepaddle.org.cn/tutorials/projectdetail/2291401 paddleVit,SwinTransformer https://github.com/BR-IDL/PaddleViT/blob/develop/image_classification/SwinTransformer/swin_transformer.py In [ ] 关于AI Studio AI Studio是基于百度深度学习平台飞桨的人工智能学习与实训...
原文地址:https://arxiv.org/abs/2103.14030 官网地址:https://github.com/microsoft/Swin-Transformer 2. 网络框架 2.1 swim VS vit Swin Transformer和ViT对比 从图中可以得到,Swin相较于ViT的区别在于:Swim模型的特征图具有层次性,随着特征层加深,特征图的高和宽逐渐变小(4倍、8倍和16倍下采样); **注:*...