github-actions[bot] edited this page Oct 8, 2024 · 28 revisions microsoft-swinv2-base-patch4-window12-192-22k Overview The Swin Transformer V2 model is a type of Vision Transformer, pre-trained on ImageNet-21k with a resolution of 192x192, is introduced in the research-paper titled "...
https://github.com/microsoft/Swin-Transformer/blob/main/MODELHUB.md#simmim-pretrained-swin-v2-models 👍1 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Metadata AssigneesNo one assigned LabelsNo labels TypeNo type ProjectsNo projects Milestone...
Hello, I'm trying to train SwinV2-B on some images with resolution of 1280x1280, but I'm having trouble making it work due to the window reverse operation. Are there any guidelines on applying SwinV2 to this kind of resolutions, or is it...
Swin-Transformer V2 [Liu et al.2021] 是微软对原有 Swin-Transformer 的继续深入研究。原有的 Swin-Transformer 通过引入图像自身的先验知识(shift 窗口来实现)在图像分类,目标检测,语义分割上取得了良好的性能。然而由于一系列问题: 大模型训练产生的激活阈值过大,下游任务的分辨率太大而预训练的分辨率太低导致相...
README.md Update README.md Nov 2, 2024 requirements.txt Create requirements.txt Nov 1, 2024 wd_tag.py Update wd_tag.py Nov 2, 2024 wd-swinv2-tagger-v3-script wd-swinv2-tagger-v3 scipt Installation git clone https://github.com/phppan/wd-swinv2-tagger-v3-script cd wd-swinv2-tagger...
源代码:https://github.com/microsoft/Swin-Transformer 计算机视觉研究院专栏 作者:Edison_G MSRA时隔大半年放出了Swin Transformer 2.0版本,在1.0版本的基础上做了改动,使得模型规模更大并且能适配不同分辨率的图片和不同尺寸的窗口!这也证实了,Transformer将是视觉领域的研究趋势!
This repo contains the artifacts of ML experiments to detect / classify various malware attacks based on the classical MalImg Dataset - malimg/swin_transformer_v2_wintiny.ipynb at main · gvyshnya/malimg
基于detectron2的版本见:GitHub - xiaohu2015/nndet2 参考 Swin Transformer V2: Scaling Up Capacity and Resolution https://github.com/microsoft/Swin-Transformer Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
I want to try huge and giant model, but no config files. Could you please make the config files open? Thanks.Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees No one assigned Labels None yet Projects None yet Milestone No ...
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