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Vpocc Semantickitti

@article{kim2024vpocc, title={VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction}, author={Kim, Junsu and Lee, Junhee and Shin, Ukcheol and Oh, Jean and Joo, Kyungdon}, journal={arXiv...

ArtOtherVersionSemantickittiCBewertung

Modellquelle

Art
Other
Dateigröße
1,23 GB
Version
vSemantickitti
Aktualisiert
1. Nov. 2026
Quelle
Hugging Face

Quellenbeschreibung

Citation

@article{kim2024vpocc,
  title={VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction},
  author={Kim, Junsu and Lee, Junhee and Shin, Ukcheol and Oh, Jean and Joo, Kyungdon},
  journal={arXiv preprint arXiv:2408.03551},
  year={2024}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 787edd42b990d928a88a610ce3edd7471ca51266
huggingface.co/joonsu0109/vpocc-semantickitti/tree/787edd42b990d928a88a610ce3edd7471ca51266

Verifiziert 1. Nov.

Modellartefakte

1 Artefakt

semantickitti.ckpt

ckpt · 1,23 GB · SHA-256 078801ac7ac6…2830 · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: mit pipeline_tag: image-to-3d --- ## Citation ```bibtex @article{kim2024vpocc, title={VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction}, author={Kim, Junsu and Lee, Junhee and Shin, Ukcheol and Oh, Jean and Joo, Kyungdon}, journal={arXiv preprint arXiv:2408.03551}, year={2024} } ```

Source context: 0 downloads · 0 likes · Pipeline image-to-3d · Repo joonsu0109/vpocc-semantickitti