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  # Pretrained Models for SIU3R
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  We provide pretrained models for the Panoptic Segmentation task. We train MASt3R backbone with adapter on the COCO dataset for SIU3R initialization.
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  }
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  ```
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- The "scene0011_00" field is the scan name, the "2" field is the object id (also instance_label), the "object_name" field is the object name, the "instance_label_id" field is the semantic label id in instance segmentation task, the "panoptic_label_id" field is the semantic label id in panoptic segmentation task, the "frame_id" field is the frame ids of images which contain this object, the "text" field is the refer segmentation text description, and the "text_token" field is the tokenized refer segmentation text by openclip (https://github.com/mlfoundations/open_clip), note that we use `convnext_large_d_320` model (https://huggingface.co/laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft-soup). The refer segmentation task is to segment the object in the image based on the refer segmentation text. This part of data is obtained from the uniseg3d repository (https://github.com/dk-liang/UniSeg3D), thanks for their great work.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+ This is official huggingface repository for [SIU3R](https://arxiv.org/abs/2507.02705)
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  # Pretrained Models for SIU3R
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  We provide pretrained models for the Panoptic Segmentation task. We train MASt3R backbone with adapter on the COCO dataset for SIU3R initialization.
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  ...
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  }
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  ```
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+ The "scene0011_00" field is the scan name, the "2" field is the object id (also instance_label), the "object_name" field is the object name, the "instance_label_id" field is the semantic label id in instance segmentation task, the "panoptic_label_id" field is the semantic label id in panoptic segmentation task, the "frame_id" field is the frame ids of images which contain this object, the "text" field is the refer segmentation text description, and the "text_token" field is the tokenized refer segmentation text by openclip (https://github.com/mlfoundations/open_clip), note that we use `convnext_large_d_320` model (https://huggingface.co/laion/CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft-soup). The refer segmentation task is to segment the object in the image based on the refer segmentation text. This part of data is obtained from the uniseg3d repository (https://github.com/dk-liang/UniSeg3D), thanks for their great work.
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+
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+ # Citation
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+ If you find our work useful, please consider citing our paper:
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+ ```bibtex
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+ @misc{xu2025siu3r,
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+ title={SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment},
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+ author={Qi Xu and Dongxu Wei and Lingzhe Zhao and Wenpu Li and Zhangchi Huang and Shunping Ji and Peidong Liu},
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+ year={2025},
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+ eprint={2507.02705},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2507.02705},
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+ }
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+ ```