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View Code? Open in Web Editor NEW[ICLR 2023] BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
[ICLR 2023] BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
Hello! Could you please tell me the version of mmdet3d you used?
when I run, it shows like:
from numba.np.ufunc import _internal
SystemError: initialization of _internal failed without raising an exception
Hello!
Will the source code be released? If so, is there a specific time
Hi, I noticed there are some results obtained by using CBGS in your paper. Could you please tell me how to enable CBGS in your code?
Hi, thanks a lot for sharing your code. I find that the student model is trained from a pre-trained model "data/pretrain_models/fcos3d_r50_new.pth". Can you provide it, or tell us how to get it?
Thank you very much.
I assumed BEVFormer-T corresponds to the configs in configs/video_bevformer/*.
What is the difference with the original BEVFormer?
Could you provide distillation training configs between original BEVFormer and teacher model?
Thank you.
Thanks for your great work. I am also exploring this topic and want to cite your work. I need the additional metrics in Table 1, including mATE, mASE, mAOE, mAVE and mAAE of your method and the reproduced ones. Could you please provide them?
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