4 citations · 5 across the 2 of their papers we have counts for
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cs.CV2023★ 1 cited
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
Xiao Fu, Shangzhan Zhang, Tianrun Chen +4
Training perception systems for self-driving cars requires substantial 2D annotations that are labor-intensive to manual label. While existing datasets provide rich annotations on…
cs.CV2022★ 4 cited
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Xiao Fu, Shangzhan Zhang, Tianrun Chen +5
Large-scale training data with high-quality annotations is critical for training semantic and instance segmentation models. Unfortunately, pixel-wise annotation is labor-intensive…