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Found 3 papers, 2 papers with code
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Since scene context helps reasoning about object semantics, current works focus on models with large capacity and receptive fields that can fully capture the global context of an input 3D scene.
Ranked #3 on
Semantic Segmentation
on ScanNet
UGainS: Uncertainty Guided Anomaly Instance Segmentation
Our approach centers on an out-of-distribution segmentation model for identifying uncertain regions and a strong generalist segmentation model for anomaly instances segmentation.
Mask4Former: Mask Transformer for 4D Panoptic Segmentation
With this intention, we propose Mask4Former for the challenging task of 4D panoptic segmentation of LiDAR point clouds.
Ranked #1 on
4D Panoptic Segmentation
on SemanticKITTI
