-
Thank you for your wonderful project.
Can this language-binding model handle scenarios where a modality is missing? Specifically, is it possible to perform inference without the audio modality, an…
-
I downloaded the DeepLIIF-main source code to reproduce it, but found that a parameter "modalities_no" was missing during the reproduction process, and the error was as follows: self.modalities_no = o…
-
https://github.com/qbicsoftware/etl-scripts/blob/5938535b1e6dd0e49fda2d93709f16725213858d/README.md?plain=1#L422
-
**Context**
We often train multi-modal deep learning models (in our case, various contrasts of MRI, e.g. T1(ce), T2, T2*, FLAIR, etc) to take advantage of the complementary information that these mod…
-
Hi, thanks for releasing this awesome work! I would like to know whether the optical flow data is missed in some scenarios. I unzipped the file and there is no optical flow data in the human_pose/PD_t…
-
How to reproduce :
1. open the Rio example dataset
1. Click on "Nature of institution" then on the arrow
The embed button is not visible where it should be.
-
Hi,
First, thanks a lot for creating this package - it has been fantastic for the non-rigid registration of MxIF, HE and CODEX data.
I am reaching out because I've encountered an issue when tran…
-
## Expected Behavior
Even if the `category_encoders.one_hot.OneHotEncoder` doesn't encode any features, we would expect it to convert a pd.DataFrame into a numpy.ndarray if we set the parameter :
…
-
Thank you for your work on multimodal prompt learning for missing modalities.
I have a video dataset which is not for sentiment analysis or emotion recognition but I want to use your architecture f…
gak97 updated
2 months ago
-
Hello! I am very inspired by your work. Referring to your work, I have some doubts while pre-training MRI data.
I want to use brain tumor MRI containing four modalities for pre-training, what to do …