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Model Checkpoints #101
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One month after CVPR DDL! With a super powerful self-supervised model weight. |
BTW, which model weight to your team want to use? Maybe I can check my experiments records. |
Thanks for your reply! Our team want to use a pretrained model to obtain the local and global feature of an indoor scene. So we may be interested in model trained on an indoor dataset. |
In this case you can first use pre-trained PTv3 with multi-dataset joint training here(https://huggingface.co/Pointcept/PointTransformerV3/tree/main). And after cvpr, we will have a big update on the codebase, and released self-supervised pre-trained PTv3, this version is more flexible and powerful. |
Thank you very much! |
Hi, I remember that it is for v1.5.1, and sorry for this inconvenience. I am just an individual contributor and don't have sufficient time to maintain these weights for different versions. I will have a big update at the end of this year with a super powerful self-supervised PTv3. |
Fantastic work!
Could you please tell me when the new model and checkpoints will be released? My collaborators and I are looking forward to taking advantages of this great work :)
Thank you very much if you can release them before long.
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