-
Notifications
You must be signed in to change notification settings - Fork 1
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
视觉效果对比图 #11
Comments
我也想要这些方法在AID和UCMerced数据集上复原的图像,还有这些裁剪的区域的位置可以说一下吗 |
我也是想知道这个问题
帅男孩
***@***.***
…------------------ 原始邮件 ------------------
发件人: ***@***.***>;
发送时间: 2023年5月9日(星期二) 下午5:03
收件人: ***@***.***>;
抄送: ***@***.***>; ***@***.***>;
主题: [Shaosifan/TransENet] 视觉效果对比图 (Issue #11)
你好,文章中的视觉效果对比图是需要retrain这些模型的吗 ?能否提供这些方法在AID和UCMerced数据集上复原的图像? 谢谢
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you commented.Message ID: ***@***.***>
|
这些算法都是retrain过的。论文中贴的相关视觉对比图,可从这个链接上下载:[Baidu Drive, password: sm3g] |
这个只有论文中的贴图,没有retrained 算法复原的所有图像吗? |
我这边目前找到的有AID数据集上各个方法复原的所有图像:[Baidu Drive, password: 0tul] |
嗯嗯好的,非常感谢。
…---- 回复的原邮件 ----
| 发件人 | ***@***.***> |
| 日期 | 2023年05月14日 22:23 |
| 收件人 | ***@***.***> |
| 抄送至 | ***@***.***>***@***.***> |
| 主题 | Re: [Shaosifan/TransENet] 视觉效果对比图 (Issue #11) |
我这边目前找到的有AID数据集上各个方法复原的所有图像:[Baidu Drive, password: 0tul]
—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you authored the thread.Message ID: ***@***.***>
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
你好,文章中的视觉效果对比图是需要retrain这些模型的吗 ?能否提供这些方法在AID和UCMerced数据集上复原的图像? 谢谢
The text was updated successfully, but these errors were encountered: