Open krkrkrrk opened 7 months ago
Since our method are pre-extracted feature-based, it won't require many GPUs. In our experiment, we only use one V100 and train about several hours.
Thank you for your response.
I am surprised that the difference in R@1 (tIoU=0.3) is only 1.54%, despite the significant difference in training time between GroundNLQ and ASL.
I thought that the ensemble with NaQ greatly influences the accuracy. Could you please share the Test results for ASL only?
Hello.
Thank you for publishing your project.
As the title says, I would like to know about the number of V100 GPUs and training time.