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, 2021
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CycleChart is a consistency-based framework that organizes chart generation, schema parsing, data parsing, and QA around single data instances to enforce bidirectional semantic alignment and improve cross-task generalization.
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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.
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CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation
CycleChart is a consistency-based framework that organizes chart generation, schema parsing, data parsing, and QA around single data instances to enforce bidirectional semantic alignment and improve cross-task generalization.
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