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Hi, I read your paper on Arxiv and the performance is very impressive. I wonder if the ResNet-18 you used was pretrained on other datasets before (ImageNet or other detection datasets). Looking forward to your reply~
The text was updated successfully, but these errors were encountered:
Hi, thanks for your attention. Yes, the student backbone is pretrained on ImageNet. Besides, the student backbone is also trained on nuScenes for 23 epochs when CBGS strategy is not adopted. With CBGS strategy adopted, the student backbone is only pre-trained on ImageNet.
Hi, it's me again. Could you let me know the weights you took for Lbev and Ld? I didn't find them in your paper. Moreover, could you please give some detail on how to realize the soft label distillation loss Lsoft?
Hi, I read your paper on Arxiv and the performance is very impressive. I wonder if the ResNet-18 you used was pretrained on other datasets before (ImageNet or other detection datasets). Looking forward to your reply~
The text was updated successfully, but these errors were encountered: