Bencheng
Bencheng
We release an initial version of MapTR, you can refer to the code for more details, so I'm closing this issue, but let us know if you have further questions.
We release an initial version of MapTR, you can refer to the code for more details, so I'm closing this issue, but let us know if you have further questions.
We release an initial version of MapTR, I'm closing this issue, but let us know if you have further questions.
> So, inter-instance and intra-instance interaction in one MHSA layer? or two layers? We perform the interaction in one MHSA layer. > The initial quires are learnable params, right? Yes,...
Emmm, it is strange. Have you prepared the pretrained resnet50 backbone? If yes , and can you successfully reproduced the experiments with BEVFormer and GKT?
I rerun the bevpool experiment with the released code,which is waiting in a queue. Once I have the intermediate results, I will inform in this thread.
My intermediate result seems fine. I guess that the problem may lie in the mmdet3d op compilation. 
@JingweiZhang12 Which type of GPU do you use for training? It may be attributed to the mmdet3d compilation flag.
Yes.
Sorry for that, we have not conducted this experiment. Since how to support additional fixed-order centerline beyond permutation-equivalent semantics (ped, divider, boundary) with unified modeling and matching is the contribution...