2D Panoptic Segmentation
4 papers with code • 3 benchmarks • 5 datasets
Datasets
ScanNet
4D-OR
MM-OR
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depression interview dataset
Most implemented papers
PanopticNDT: Efficient and Robust Panoptic Mapping
As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial.
Panoptic 3D Scene Reconstruction From a Single RGB Image
xheon/panoptic-reconstruction
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NeurIPS 2021
Inspired by 2D panoptic segmentation, we propose to unify the tasks of geometric reconstruction, 3D semantic segmentation, and 3D instance segmentation into the task of panoptic 3D scene reconstruction - from a single RGB image, predicting the complete geometric reconstruction of the scene in the camera frustum of the image, along with semantic and instance segmentations.
Panoptic Lifting for 3D Scene Understanding with Neural Fields
nihalsid/panoptic-lifting
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CVPR 2023
We propose Panoptic Lifting, a novel approach for learning panoptic 3D volumetric representations from images of in-the-wild scenes.
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments
Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing surgical assistance, situational awareness, and patient safety.
