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(CVPR 2023) PLA: Language-Driven Open-Vocabulary 3D Scene Understanding & (CVPR2024) RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding

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I want to ask how to generate the **nuscenes_infos_1sweeps_train.pkl** file. I couldn't find a file similar to create_data.py in the mmdet project directory.

Hi, thanks for your great work! I'm encountering some problem when running the annotation-free setup models e.g. [RegionPLC + OpenScene + SparseUNet32] or [RegionPLC + SparseUNet32]. When inferenced on scannet...

Hello, Thank you for your time and for sharing your work! I'm interested in reproducing the generated caption dataset provided in [here](https://connecthkuhk-my.sharepoint.com/personal/jhyang13_connect_hku_hk/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fjhyang13%5Fconnect%5Fhku%5Fhk%2FDocuments%2Fpretrained%5Fmodels%2Fregionplc%2Fcaption%5Ffiles%2Fscannet&ga=1). However, I couldn't find specific instructions on how...

Hi, I saw that you are not using the background class during training and testing. I am wondering how would you use the model to predict the binary mask for...

Hi,thank you for your great work!When I using the model pretrained on scannet without label as you provided to test on s3dis,I found that the results were worse than those...