ModelPublicadoExterno

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...

Fuentehuggingface.co/joonsu0109/vpocc-semantickitti/tree/787edd42b990d928a88a610ce3edd7471ca51266

TipoOtherVersiónSemantickittiCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 1,23 GB
Versión: vSemantickitti
Actualizado: 1 nov 2026
Fuente: Hugging Face

Descripción de la fuente

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}
}

Fuentes

1 fuente

Hugging FacePrincipalVersión 787edd42b990d928a88a610ce3edd7471ca51266

huggingface.co/joonsu0109/vpocc-semantickitti/tree/787edd42b990d928a88a610ce3edd7471ca51266

Verificado 1 nov

Artefactos del modelo

1 artefacto

semantickitti.ckpt

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

Download file

Extractos de fuentes

2 extractos

Readme17 agohuggingface.co/joonsu0109/vpocc-semantickitti

--- 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} } ```

Note17 agohuggingface.co/joonsu0109/vpocc-semantickitti

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