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I want to ask whether the performances in Table 3 are obtained by using detection and occupancy joint training strategy or just use the occupancy prediction training.
BTW, I cannot find the joint training config for the OccNet in the folder of projects/configs/hybrid, could you provide the configs to obtain the performances in your Table 3 and Table 5?
The text was updated successfully, but these errors were encountered:
The performance in table 3 is obtained by the occupancy prediction training.
For the joint training of detection and occupancy, you can refer to bevformer/bev_tiny_det_occ.py.
Hi, thanks for sharing this wonderful code.
I want to ask whether the performances in Table 3 are obtained by using detection and occupancy joint training strategy or just use the occupancy prediction training.
BTW, I cannot find the joint training config for the OccNet in the folder of
projects/configs/hybrid
, could you provide the configs to obtain the performances in your Table 3 and Table 5?The text was updated successfully, but these errors were encountered: