About the Pre-trained Model

[Cranooooooo]

Hi, that's very interesting work that reuses the grid feature again.

I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?

Thx alot~

[zhangxuying1004]

Hi, that's very interesting work that reuses the grid feature again.

I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?

Thx alot~

Thanks for your attention. We are building an enhanced version of RSTNet which has better performance for journal. We will upload the extracted grid-features, pre-trianed transformer as well as pre-trained rstnet soon.

[a75732410]

Hi, that's very interesting work that reuses the grid feature again.
I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?
Thx alot~

Thanks for your attention. We are building an enhanced version of RSTNet which has better performance for journal. We will upload the extracted grid-features, pre-trianed transformer as well as pre-trained rstnet soon.

你好，预训练好的语言模型没有下载链接呀。能提供一下吗？非常感谢！

[08tjlys]

Hi, that's very interesting work that reuses the grid feature again.
I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?
Thx alot~

Thanks for your attention. We are building an enhanced version of RSTNet which has better performance for journal. We will upload the extracted grid-features, pre-trianed transformer as well as pre-trained rstnet soon.

hi, thanks for your wonderful work first.
and if possible, i wonder if later you could also provide some instructions for inference on user's own raw images? it would be really great so that we could experience your work more quickly

[zhangxuying1004]

Hi, that's very interesting work that reuses the grid feature again.
I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?
Thx alot~

Thanks for your attention. We are building an enhanced version of RSTNet which has better performance for journal. We will upload the extracted grid-features, pre-trianed transformer as well as pre-trained rstnet soon.

你好，预训练好的语言模型没有下载链接呀。能提供一下吗？非常感谢！

预训练的语言模型已上传，你可以在RSTNet/Pre-trained_Models/中下载。

[a75732410]

Hi, that's very interesting work that reuses the grid feature again.
I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?
Thx alot~

Thanks for your attention. We are building an enhanced version of RSTNet which has better performance for journal. We will upload the extracted grid-features, pre-trianed transformer as well as pre-trained rstnet soon.

你好，预训练好的语言模型没有下载链接呀。能提供一下吗？非常感谢！

预训练的语言模型已上传，你可以在RSTNet/Pre-trained_Models/中下载。

谢谢您的分享~ 辛苦了！

[zhangxuying1004]

Hi, that's very interesting work that reuses the grid feature again.
I want to test and reuse the pre-trained model for some tasks,
However, according to the instruction in README, the file is currently inaccessible.
Would u mind uploading the pre-trained model file again?
Thx alot~

Thanks for your attention. We are building an enhanced version of RSTNet which has better performance for journal. We will upload the extracted grid-features, pre-trianed transformer as well as pre-trained rstnet soon.

hi, thanks for your wonderful work first.
and if possible, i wonder if later you could also provide some instructions for inference on user's own raw images? it would be really great so that we could experience your work more quickly

Thans for your attention. I will build a pipeline from raw images to captions soon.