l-kid / video-object-detection-by-location-anticipation Goto Github PK

Thank you very much for providing the code for your paper.
However, I noticed that I am unable to generate any weight files during training.
Additionally, if possible, could you provide pre-trained weight files that can be directly used to validate accuracy？

Your work is very valuable. I would like to ask you some questions about Backbone. Where can I obtain the code for your DETR architecture and Resnet101? I see that the code presents the training process for Resnet50.

Hi! Thank you very much for providing the code for your paper. However, there seems to be no detailed description of data processing in the code base you provided, only the data path is marked in the code. Therefore, I would like to ask you about the specific data processing steps. Can you help me?

Hello,

Thank you for the work you have done so far and making it public so that it is helpful for our research. In the paper, result with DETR as shown better results but I can not see that in the code. Can you please let me know when will that be made available ?

Hi,

Thank you for releasing the code of your model,

We would like to test the model on our custom data, unfortunately we can't find any example of data as ImageNet Vid dataset is not available any more.
Do you know where we could find an example of the expected data format ?

Thanks in advance,
best,
VS

What is the resolution of the input frames at the testing and training stages?