Open Dataset
Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
はじめに
我々は、自然言語記述を用いたRGB-Dスキャンにおける3D物体の位置特定タスクを紹介します。 入力として、スキャンされた3Dシーンの点群と、指定されたターゲット物体の自由形式の記述を想定します。 このタスクに対処するために、我々はScanReferを提案します。これは、3D物体提案とエンコードされた文埋め込みから融合記述子を学習する手法です。 この融合記述子は、言語表現と幾何学的特徴を関連付け、ターゲット物体の3Dバウンディングボックスの回帰を可能にします。 我々はまた、ScanReferデータセットを紹介します。これは、800のScanNetシーンからの11,046個の物体の51,583個の記述を含んでいます。 ScanReferは、3Dで直接自然言語表現を用いて物体の位置特定を行う最初の大規模な取り組みです。

当プロジェクトが役に立つと思われる場合は、引用を検討してください。
@article{chen2020scanrefer, title={ScanRefer: 3D物体の位置特定におけるRGB-Dスキャンでの自然言語の使用}, author={Chen, Dave Zhenyu と Chang, Angel X と Nie{\ss}ner, Matthias}, journal={第16回ヨーロッパコンピュータビジョン会議 (ECCV)}, year={2020} }
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- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.