Comments (4)
@WangYueFt Hi! I have the same question about that.
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same question here
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Hi, Thanks for point it out. Sorry for the late reply
For the experiments without CBGS, the 1e-4 LR and 12 epochs are typos in the paper. In most of the experiment we used 2e-4 LR and 24 epochs.
I didn't remember the detailed performance difference between these two setup, but training the detection models longer can boost the performance a lot, especially using no pretrain models. If training DETR3D with only ImageNet pretrained model, you can continue training the models to 48, 72 epochs to still observe some performance improvments.
Thanks!
from detr3d.
Hi, Thanks for point it out. Sorry for the late reply
For the experiments without CBGS, the 1e-4 LR and 12 epochs are typos in the paper. In most of the experiment we used 2e-4 LR and 24 epochs.
I didn't remember the detailed performance difference between these two setup, but training the detection models longer can boost the performance a lot, especially using no pretrain models. If training DETR3D with only ImageNet pretrained model, you can continue training the models to 48, 72 epochs to still observe some performance improvments.
Thanks!
Hello, thanks for your great work! Did you use cbgs in your experiment? 24 epochs are trained by default, and no cbgs is the default setting?
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