Giters

Sranc3 / M-BEV

[AAAI24]This is the implementation for the paper M-BEV: Masked BEV Perception for Robust Autonomous Driving

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Training schedule

konyul opened this issue · comments

commented

Thank you for sharing such a great work!
I have some questions for the training details.

  1. In the paper, 48 epochs are consumed to train MVR, however, in the github, 24 epoch are consumed for finetuning. which one is right?
  2. how many epochs do you consume for pretraining?
commented

Thanks for your interest. For one missing camera, finetuning for 24 epochs could achieve most of the performance, and for 48 epochs the performance will be saturated. So you can decide how many epochs you want to train with time cost in mind. Note, for more missing views, more training epochs are recommended. In the experiment, the pretraining time is too long while the improvement is limited compared to finetuning, and we suggest to have a short pretraining for rough initialization or go through the finetuning with mvr loss supervision directly. You can have your own try and find the suitable schedule according to your demand.

commented

Thank you for the answer, I am satisfied with your answer.