Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu… - … Conference on 3D …, 2022 - ieeexplore.ieee.org
Large-scale training data with high-quality annotations is critical for training semantic and
instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive and …
被引用次数：136 相关文章

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou… - arXiv preprint arXiv …, 2022 - arxiv.org
Large-scale training data with high-quality annotations is critical for training semantic and
instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive and …

[引用][C] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou, A Geiger… - 2022 - ub01.uni-tuebingen.de
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Panoptic
NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation DSpace …

[引用][C] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou… - 2022 - tobias-lib.ub.uni-tuebingen.de
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Panoptic
NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation DSpace …
[PDF] cvlibs.net

[PDF][PDF] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou, A Geiger… - cvlibs.net
Large-scale training data with high-quality annotations is critical for training semantic and
instance segmentation models. Unfortunately, pixel-wise annotation is laborintensive and …

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou… - … Conference on 3D …, 2022 - computer.org
Large-scale training data with high-quality annotations is critical for training semantic and
instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive and …

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Large-scale training data with high-quality annotations is critical for training semantic and
instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive and …
[PDF] cvlibs.net

[PDF][PDF] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

X Fu, S Zhang, T Chen, Y Lu, L Zhu, X Zhou, A Geiger… - cvlibs.net
In this supplementary document, we first give a detailed overview of our network
architecture, sampling strategy, evaluation metrics, and training and inference procedure in …