Open HankKung opened 1 year ago
Hi @HankKung
Does your problem solved ?
Hi @HankKung
Does your problem solved ?
Nope, have not received any updates.
It is unfair to compare different prediction methods using different detection backbone. PnPNet-Vision in UniAD is reimplemented with BEVFormer which has strong detection performance. The performance of end-to-end prediction heavily depend on detection performance because of error accumulation.
Sorry for my delayed response (one year later) to your question for performance comparison between PnPNet-Vision and ViP3D, because I only see the first version of this issue and did not received a notification after you edited the issue.
dear @GentleSmile
I really needs your support to understand your project
How can I connect to your team ?
are you in linked in ? how can i connect to you ?
Hi wondering when will the code for baselines be released:
Since the results that compare PnPNet-Vision and ViP3d provided by ViP3D and tab. 5 in UniAD are contradictory. PnPNet-Vision outperforms ViP3D by a large margin in their paper. I believe it is quite urgent that the authors should release the full code for the implementation.
Also, I notice that the authors do not plan to release the goal-based and heatmap-based ViP3D because they are not in good shape. However, it will be great and crucial to reproduce the experiments in the paper exactly.