PanDA is the first UDA method for multimodal 3D panoptic segmentation that improves robustness to single-modality degradation and pseudo-label completeness via asymmetric augmentation and dual-expert refinement.
Learning transferable visual models from natural language supervision
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PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving
PanDA is the first UDA method for multimodal 3D panoptic segmentation that improves robustness to single-modality degradation and pseudo-label completeness via asymmetric augmentation and dual-expert refinement.