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+ The processed ScanNet datasets by VGGT-Det.
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+ If the dataset is helpful, please cite:
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+ @inproceedings{dai2017scannet,
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+ title={ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes},
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+ author={Dai, Angela and Chang, Angel X. and Savva, Manolis and Halber, Maciej and Funkhouser, Thomas and Nie{\ss}ner, Matthias},
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+ booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
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+ year = {2017}
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+ }
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+ @inproceedings{cao2026vggtdet,
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+ title={VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection},
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+ author={Cao, Yang and Wu, Feize and Dave Chen, Zhenyu and Zhong, Yingji and Hong, Lanqing and Xu, Dan},
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+ booktitle={CVPR},
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+ year={2026}
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+ }