Hey, thanks for the great paper,
I had two issues i wanted to discuss about the PETR model.
-
Since the joint decoder runs simultaneously on all of the pose queries, it's effectively have a batch size of num_pose_queris * batch_size. Doesn't it cause a huge memory consumption problem?
-
Following the previous question, doesn't activating the joint decoder on so many queries (num_pose_queris * batch_size * num_key_points) causes a very large latency?
Thanks,
Hey, thanks for the great paper,
I had two issues i wanted to discuss about the PETR model.
Since the joint decoder runs simultaneously on all of the pose queries, it's effectively have a batch size of num_pose_queris * batch_size. Doesn't it cause a huge memory consumption problem?
Following the previous question, doesn't activating the joint decoder on so many queries (num_pose_queris * batch_size * num_key_points) causes a very large latency?
Thanks,