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...
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 199 MB
- Versão
- vMaskdino r50 50e 300q panoptic pq53.0
- Atualizado
- 1 de nov. de 2026
- Fonte
- Hugging Face
Descrição da fonte
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}
}
Fontes
1 fonte
Fontes
1 fonteVerificado 1 de nov.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatomaskdino_r50_50e_300q_panoptic_pq53.0.pth
pth · 199 MB · SHA-256 50920976ea2f…534e · Hugging Face
Download fileTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- 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-symphonies-maskdino
