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...
Source du modèle
- Type
- Other
- Taille du fichier
- 199 MB
- Version
- vMaskdino r50 50e 300q panoptic pq53.0
- Mis à jour
- 1 nov. 2026
- Source
- Hugging Face
Description de la source
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}
}
Sources
1 source
Sources
1 sourceVérifié 1 nov.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactmaskdino_r50_50e_300q_panoptic_pq53.0.pth
pth · 199 MB · SHA-256 50920976ea2f…534e · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 extraits--- 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
