qq456cvb/CanonicalVoting

Canonical Voting: Processed Data and Annotations

Processed data and annotations for Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes (CVPR 2022).

Code: https://github.com/qq456cvb/CanonicalVoting

Pretrained models: https://huggingface.co/qq456cvb/CanonicalVoting

These assets are derived from ScanNet and Scan2CAD; please also comply with their original terms of use.

Files

Path	Description
full_annotations.json	Bathtub-fixed Scan2CAD oriented-bounding-box annotations (ambiguous washbasins/washstands etc. removed for wordnet id 02808440)
scan2cad_segments/scan2cad/{train,val}/scan2cad_segments.pkl	Annotated Scan2CAD model segments for training/validation
results_gt/*.txt	Preprocessed ground-truth boxes per ScanNet scene, used for evaluation

Adjust the corresponding paths in config/config.yaml of the code repo.

Citation

@inproceedings{you2022canonical,
  title={Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes},
  author={You, Yang and Ye, Zelin and Lou, Yujing and Li, Chengkun and Li, Yong-Lu and Ma, Lizhuang and Wang, Weiming and Lu, Cewu},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={1193--1202},
  year={2022}
}