ModelPublicadoExterno

Vpocc Symphonies Maskdino

@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-symphonies-maskdino/tree/48ee1aaca84fc761e5ed4d2341c552dc522dfd33

TipoOtherVersiónMaskdino r50 50e 300q panoptic pq53.0Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 199 MB
Versión: vMaskdino r50 50e 300q panoptic pq53.0
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 48ee1aaca84fc761e5ed4d2341c552dc522dfd33

huggingface.co/joonsu0109/vpocc-symphonies-maskdino/tree/48ee1aaca84fc761e5ed4d2341c552dc522dfd33

Verificado 1 nov

Artefactos del modelo

1 artefacto

maskdino_r50_50e_300q_panoptic_pq53.0.pth

pth · 199 MB · SHA-256 50920976ea2f…534e · Hugging Face

Download file

Extractos de fuentes

2 extractos

Readme17 agohuggingface.co/joonsu0109/vpocc-symphonies-maskdino

--- 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-symphonies-maskdino

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