First of all, heartfelt congratulations on the acceptance of DFormer-V2 at CVPR! Your work is truly inspiring, and I have learned a lot from your previous V1 version.
I have a couple of questions and would greatly appreciate your guidance:
Training Setup: Was the DFormer-V2 model trained using two RTX 3090 GPUs as in the previous version? If possible, could you kindly share the hardware configuration and approximate training time for both pretraining and fine-tuning?
DELIVER Dataset Support: I noticed that you’ve included evaluation results on the DELIVER dataset in your latest paper. May I ask if you have any plans to update the codebase to support the DELIVER dataset in the future?
Thank you very much for your time and for your valuable contributions to the field. Wishing you continued success and even greater achievements in your research!
First of all, heartfelt congratulations on the acceptance of DFormer-V2 at CVPR! Your work is truly inspiring, and I have learned a lot from your previous V1 version.
I have a couple of questions and would greatly appreciate your guidance:
Training Setup: Was the DFormer-V2 model trained using two RTX 3090 GPUs as in the previous version? If possible, could you kindly share the hardware configuration and approximate training time for both pretraining and fine-tuning?
DELIVER Dataset Support: I noticed that you’ve included evaluation results on the DELIVER dataset in your latest paper. May I ask if you have any plans to update the codebase to support the DELIVER dataset in the future?
Thank you very much for your time and for your valuable contributions to the field. Wishing you continued success and even greater achievements in your research!