cwhao98 / ddl Goto Github PK

Hi!
Thank you for open-sourcing the code and data, this work is very interesting and significant.

When using the provided annotations, I found that some landmark and action words do not have their corresponding viewpoints. For example, the following picture is the visualization of the case whose instr_id is 2804_2. This picture only shows the information of the annotated action words. If the viewpoint does not contain its corresponding action words, I just let the first token "[CLS]" be the action word of this viewpoint. Thus, in this case, only the first viewpoint contains its action words. The verbs like "turn right" and "walk up" do not have their corresponding viewpoints.

Is this normal? If it is abnormal, could you please check the data?

Thanks again!

Hello, thank you for your excellent work. I am currently attempting to implement your model in my local environment. However, I am facing difficulties in achieving the performance of the R2R test dataset displayed in your paper. While the performance in Val Unseen is similar to what you reported, it is notably lower in the test dataset. I was wondering if it would be possible for you to share the checkpoint of your best model and its corresponding hyperparameters with me. Thank you in advance!