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Found 2 papers, 2 papers with code
RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation
Our resulting RT-K-Net sets a new state-of-the-art performance for real-time panoptic segmentation methods on the Cityscapes dataset and shows promising results on the challenging Mapillary Vistas dataset.
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
We define monocular geometric scene understanding as the combination of two known tasks: Panoptic segmentation and self-supervised monocular depth estimation.
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