Custom data - register known CAD model - how can I further optimize alignment? about overlappredator HOT 1 CLOSED

hi,

Thanks for your interest and encouraging words.

To answer your question:

• Due to the symmetry in your data, "registering objects upside down" is quite expected. If you check those deep models registering ModelNet40 datasets, quite often, they restrict the test samples to have rotation angles within 45 degrees such that they can directly avoid ambiguity caused by symmetry. In large scale data, we rely on larger context to disambiguate them, I guess this would be challenging in your case.

• Without some hacks, KPConv backbone is sensitive to hyper-parameter changes, so not much you can do with the pre-trained models. However, you can check D3Feat paper to see how they hack the backbone to achieve generalisation, though only to some extent.

• I think finetuning the pretrained model on your collected data is a good idea.

Let me know if your need more assistance. I was once asked about such application scenarios and I am looking forward to see how it works.

best,
Shengyu

from overlappredator.